Pranitha Buddiga

Boston, Massachusetts, United States
979 followers 500+ connections

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About

I am an experienced data science professional with in-depth experience in solving a…

Experience & Education

  • Mapfre

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Licenses & Certifications

Volunteer Experience

  • Volunteer

    GiveIndia

    Education

  • Executive

    Prerana

    - 1 year

    Social Services

    Organization of blood camps, visiting orphanages, conducting classes at government schools

  • Executive

    Prakriti

    - 1 year

    Environment

    Organizing cleanliness drives

Courses

  • Advanced Business Analytics and Project Management

    -

  • Business Decision Modelling

    -

  • Business Process Modelling and Data Management

    -

  • Computer Architecture

    -

  • Data Analytics Using R

    -

  • Data Mining

    -

  • Data Science with python

    -

  • Data Structures and Algorithms

    -

  • Database Management System

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  • Introduction to Project Management

    -

  • JAVA

    -

  • Netcentric programming

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  • Operating Systems

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  • Parallel Distributed Computing

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  • Predictive Modelling

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  • Project Leadership and Communication

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  • Project Risk and Cost Management

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  • SAS

    -

  • Software Engineering

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  • Visual Analytics

    -

Projects

  • Fitness Data Analysis in R

    This project aims to fill the gap between the routine collection of data from devices and their analyses in a modern statistical environment like R. Aim is to analyze, visualize exercise data from GPS enabled sports devices using TrackeR and Fitbit data without GPS using fitbitScraper packages. Created a package called "fitbitdatasummary" in R to give the summary stats of the Fitbit workout data.

    Other creators
  • Online Customer behavior Analysis- clickstream data in R

    The main objective of the project is to analyze the click stream data of a European e-commerce business. We have predicted whether the user is going to be a buyer or not based on existing data and extracted some features of customers that helps improve business. Markov chain was used to predict the pattern in sequence of items bought.

    Other creators
  • Cost Management Case Study for leading Apparel Retailer in US

    - Analyzed their business plan(formulated to improve their sales as a part of their growth strategy) and offered solution using earned value management. Used excel to deep dive into the whole set of impacts that affected the business plan by framing initial set of assumptions to proceed with the solving part
    -Estimated the financial scope and calculated the schedule and cost variances for various impacts which helped in better understanding of the time frame of the project
    - Had given…

    - Analyzed their business plan(formulated to improve their sales as a part of their growth strategy) and offered solution using earned value management. Used excel to deep dive into the whole set of impacts that affected the business plan by framing initial set of assumptions to proceed with the solving part
    -Estimated the financial scope and calculated the schedule and cost variances for various impacts which helped in better understanding of the time frame of the project
    - Had given recommendations for future purpose to tackle the present issues

  • Data Mining - Time Series Forecasting using SAS for UK Travel and Tourism

    UK being the eighth largest international tourism destination, had inspected seasonality and trend across breadth of measures in both inbound and outbound tourism of UK.Have forecasted measures like
    - Monthly forecasts on number of visits and spending for inbound and outbound UK tourism from 1980 to 2015
    - Purpose of visits (business, holiday, friends and other) to and fro and also different modes of transport that people use and derived key business insights using Tableau.
    -To…

    UK being the eighth largest international tourism destination, had inspected seasonality and trend across breadth of measures in both inbound and outbound tourism of UK.Have forecasted measures like
    - Monthly forecasts on number of visits and spending for inbound and outbound UK tourism from 1980 to 2015
    - Purpose of visits (business, holiday, friends and other) to and fro and also different modes of transport that people use and derived key business insights using Tableau.
    -To extrapolate past behavior into future , we used random walk models, auto regressive models, moving average models, trend models ,seasonal models smoothening models and ARIMA time series models
    - Considered Cross correlation function to model the series in BASE SAS to include past and current values of other series in the model

    Other creators
  • Business Process Modeling and Database Development for an Airline Company

    • Re-Designed the ERP business process for the reservation of air ticket through an online portal in order to provide online travel services in pursuit of growth to overcome the issues faced by the current process
    • Implemented the database using Oracle SQL Developer
    • Developed AS-IS and TO-BE models using MS Visio
    • Generated reports that will benefit the business process using SQL queries

    Other creators
  • Business Decision Modelling – Optimization by checking the feasibility of towing ice bergs

    • Determined the feasibility of towing ice bergs from Antarctica to Kuwait as an alternative solution to desalination of seawater using conventional technology in the Persian Gulf
    • Used Non-Linear Optimization Techniques in Excel Analytical Solver to check if its economically feasible or not

    Other creators
  • Team Deposit prediction using modelling techniques in SAS JMP

    • To predict whether the client will subscribe for the term deposit or not ,so that the campaign team can target the right clients to maximize the number of term deposits
    • The dataset is chosen from University of California – Irvine (UCI), machine learning repository.
    • Using SEMMA approach explored, cleaned the dataset and applied Decision trees, Logistic Regression, Discriminant Analysis, Neural Networks, and Ensemble Modeling techniques. Based on performance metrics the best model was…

    • To predict whether the client will subscribe for the term deposit or not ,so that the campaign team can target the right clients to maximize the number of term deposits
    • The dataset is chosen from University of California – Irvine (UCI), machine learning repository.
    • Using SEMMA approach explored, cleaned the dataset and applied Decision trees, Logistic Regression, Discriminant Analysis, Neural Networks, and Ensemble Modeling techniques. Based on performance metrics the best model was chosen to give the best results

    Other creators
  • Parts Harmonization Project(Text Mining in R)

    Text Clustering and Text mining using LSA (Latent Symantec Analysis) a Natural Language Processing technique.
    • Formulated a sustainable process to identify and eliminate redundant parts, thereby rationalizing the parts and enabling the sourcing team to improvise the process for demand and supply chain planning

    Other creators
  • Big Data Project (Bucketing in Hadoop Hive)

    • Devised a methodology to identify a true seat preference, strength of preference and situations for modifications of seats and then leverage this to both increase CE and revenue on a case by case basis.

    Other creators
  • Private Label Project

    • Formulated a data driven approach to evaluate the performance of newly launched items of private label
    • Built a CTRR model(Customer Trial Repeat Rate) by identifying these (Trial and Repeat rates) metrics as benchmarks and evaluating the performance of private labels against these benchmarks
    • Integrated algorithmic approach with business heuristics to identify categories with private label potential

  • Fresh Production and Planning(Regression model in SAS)

    • Fresh Production and planning is to reduce the store wastage of rotisserie and non-rotisserie items by forecasting the demand weekly
    • Built the regression model in SAS which implements the seasonality concept and then forecasts for the future weeks

  • FAST CLUSTERING BASED FEATURE SUBSET SELECTION

    This final year project enables the selection and identification of subset of most useful features using FAST algorithm and thereby evaluating from both the efficiency and effectiveness points of view. Implemented the algorithm using JAVA and compared the results from FAST and PCA (Principal Component Analysis) using WEKA tool

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  • TRAVEL GUIDE

    This project involves the creation of website which enables the users in planning their travel safely and comfortably by providing accommodation, suggesting tourist spots etc.
    Tools: HTML,CSS,Java Script

  • Online Examination Test Generator

    This mini project enables the institution to register and then conduct online exams for the registered students and preparing the grade sheets instantly.
    -Environment: Visual Studio 2008, SQL
    -Tools: ASP.NET using C#

  • Visual Analytics: Marketing Customer Value Analysis for an auto insurance company

    -

    The Insurance Company decided to cut on their costs and allocate budget efficiently. This project is intended to give the Insurance Company, insights into the most successful Sales channel, trends of customers across different states, Policies likely to be claimed, factors such as age, income, Education that contribute to policies by creating dashboards. This will help the company to understand their customers and channel the budget effectively. Some of the cool features include interactivity…

    The Insurance Company decided to cut on their costs and allocate budget efficiently. This project is intended to give the Insurance Company, insights into the most successful Sales channel, trends of customers across different states, Policies likely to be claimed, factors such as age, income, Education that contribute to policies by creating dashboards. This will help the company to understand their customers and channel the budget effectively. Some of the cool features include interactivity of different views/worksheets in the dashboard.

    Other creators
  • Capstone Project with LAZ Parking Inc.

    -

    worked towards realigning their business strategy by performing duration analysis, User review analysis, competitor analysis, customer segmentation, Demand and Revenue forecasting using R, SAS and Tableau

    Other creators

Honors & Awards

  • APP2FAME

    Txt Web Services India

    Developed an app called "@myamrita" in the competition conducted by txtWeb using html, mysql technologies where students can check the timetables, notifications, timings of library and other administrative offices in the campus, exam schedules posted for various semester students etc

  • Hackathon Runner Up

    Txt Web Services India

    Runner up for building a txt web services app called "@productrev" which gets the latest reviews for the products either brand wise or price wise using html parsing

  • International Wonder Kid Award and Bala Ratna Award in the field of painting

    Korasala Art Gallery, India

    I was awarded with these awards in consecutive years for recognition of my work in the field of painting

Languages

  • English

    Native or bilingual proficiency

  • Hindi

    Native or bilingual proficiency

  • Telugu

    Native or bilingual proficiency

Organizations

  • Toastmasters International

    -

    - Present
  • ACROM(Amrita Club for Robotics and Mechatronics)

    Executive

    - Present

    - Organized Sentience‟13, intra collegiate robotic competition by Amrita Robotics club, Amrita School of Engineering, Bangalore, March 2013 - Organized the first ever RASE‟14 National Level Robotic Festival. Organized LiFo (Line follow), Death race and Robowars which received overwhelming response from the participants, Amrita School of Engineering, Bangalore, March 2014

  • FACE(Forum For Aspiring Computer Science Engineers)

    Excecutive

    - Present

    Organized E Week Global Marathon Event conducted by IBM, on eve of Engineer‟s week, Amrita School of Engineering, Bangalore, February 2012 and many more as a part of this club. It helped in nurturing me and intrigued the interest in learning emerging technologies

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