Java Developer Business Analyst

NISHTHA GUPTA

Boston, MA +1-781-***-**** *******@******.*** https://www.linkedin.com/in/nishthagupta2610/ EDUCATION

BABSON COLLEGE, F.W. OLIN GRADUATE SCHOOL OF BUSINESS, Wellesley, MA August 2022 - December 2023 M.S. in Business Analytics Candidate (STEM)

Awarded President's Master's Scholarship

Relevant course work : Machine Learning & Predictive Modeling, Data and Quantitative Analysis AMITY SCHOOL OF ENGINEERING AND TECHNOLOGY, Uttar Pradesh, IND July 2014 - November 2018 Bachelors in Computer Science and Engineering

Awarded On-Admission Merit Scholarship and Merit Awards Scholarship

Secured 1st Division with GPA 3.92 / 4.0

IEEE Digital Library published under "The rise in the art of Augmented Reality," 2018 International Conference on Communication, Computing, and Internet of Things (IC3IoT), 2018, pp. 434-438 SUMMARY

As an Application Developer with a Master's in Business Analytics, Nishtha has proven a track record of delivering successful data-driven solutions for clients such as Davita, Gap Inc, Humana, and Airtel Payment Bank. Her technical skills include advanced expertise in Java, Python, SQL, and R, as well as experience with machine learning, deep learning, and cloud technologies. Through her work, she have driven revenue growth, cost savings, and improved patient outcomes for clients, using data analysis and visualization tools like Pandas, NumPy, Matplotlib, and Tableau. She is confident that she can use her technical expertise and business acumen to analyze complex data sets and provide actionable insights as a Business Analyst, helping organizations make informed decisions based on data-driven insights. EXPERIENCE

Quovantis Technologies, IND November 2020 - August 2022 Application Developer

Client - Davita Inc. June 2022 - August 2022

Developed an electronic medical record in Java to monitor kidney dialysis services. The records facilitates safe, effective and efficient patient care, supports integrated care, and provide a superior teammate experience.

Analyzed and manipulated electronic medical data using SQL into actionable insights to conduct outreach to dialysis care team serving 202,600 patients at 2,827 outpatient dialysis centers in United States.

Generated a 20% reduction in patient readmissions and a 15% increase in patient satisfaction through implementation of electronic medical records and data-driven outreach strategies.

Successfully delivered project milestones on time, meeting or exceeding client expectations, resulting in positive feedback from the client and contributing to ongoing business relationships. Client - Gap Inc US - Supply Chain October 2021 - June 2022

Spearheaded the modernization of GAP's Pricing and Promotion service by delivering a redesigned Promo module with 100+ APIs as a separate micro service, moving away from a monolithic architecture.

Conducted a thorough analysis of online and offline promotions to optimize performance and simplify architecture, while also implementing a single messaging framework as the only source of truth for pricing events.

The successful implementation of these improvements resulted in significant benefits for GAP, including a 15% boost in online and offline sales, generating an estimated $50 million in additional revenue for the company. Moreover, the streamlined architecture and messaging framework reduced development and maintenance costs by 20%, delivering $10 million in cost savings. Client - Humana Digital Health and Analytics November 2020 - October 2021

Collaborated with a team of 5 developers and architects to create a platform that enables bi-directional semantic interoperability between electronic health record systems, providing healthcare providers with the ability to exchange information, process electronic orders, and deliver continuity of care documents to Humana's 20 million members.

Developed and implemented modules that drove an increase in visitors to Humana's digital properties in 2021, resulting in increased online sales volume and lead generation for national contact centers and local agents.

These efforts contributed to a 12% increase in online sales volume and a 10% increase in lead generation, resulting in an estimated

$15 million in additional revenue for the company. The improved platform also led to a 15% increase in provider satisfaction, resulting in better patient care and improved health outcomes. Capgemini Invent, IND June 2018 - November 2020

Java Developer

Client- Airtel Payment Bank

Designed and developed an Aadhaar-based e-KYC solution that facilitated over 50,000 instant Airtel mobile SIM activations per day, leading to increased customer convenience and a seamless in-store experience.

Leading to a 25% increase in SIM activations per month. The increased efficiency also resulted in a 15% reduction in operating costs and an estimated $5 million in annual savings for the company. ANALYTICAL PROJECTS

Machine Learning for Business – R

Developed a model to classify clients and predict forest cover type in four wilderness areas of the Roosevelt National Forest using machine learning techniques like KNN, Classification Trees, and Random Forest. After analyzing and interpreting the data, it was presented to non- technical managers and decision-makers, providing valuable insights for business decisions. The model resulted in a successful classification rate of 93%, demonstrating the effectiveness of the machine learning techniques used. My expertise in R and machine learning, combined with my ability to effectively communicate complex information to non-technical stakeholders, allowed me to deliver actionable insights that can drive business growth.

Quantitative Analysis for Business Strategy – Python, Tableau A Waste Management Solutions company aimed to enhance its business outcomes by identifying patterns in data sources to support customers and define the features that would drive the most willingness to pay or retention. To achieve this goal, a comprehensive data analysis was conducted using Python and Tableau. The analysis included the identification of patterns and customer segments, as well as the development of algorithms and market panels to provide subscription reporting and analytics to the company. These efforts resulted in a pricing increase of 70% on average and became a core competency for the company, driving sales increase of 100k YTD. The success of the project was attributed to the expertise in quantitative analysis, which contributed to the ability to provide valuable insights that drove business growth. Revolutionizing Topic Modeling: Comparing ChatGPT and Machine Learning Models on Categorized Data Sets – Python, Machine Learning As part of my studies in Advanced Programming, I worked on a project comparing ChatGPT and traditional machine learning models for topic modeling on categorized data sets. I conducted research on the strengths and weaknesses of each approach, implemented various algorithms, and evaluated the accuracy and efficiency of each model. This project involved extensive data preprocessing, algorithm selection, and model interpretation. Through this project, I gained valuable experience in natural language processing, machine learning, and data analysis. TECHNICAL SKILLS

Programming Languages: Advanced in Java, Python, SQL, R

Data Analysis and Visualization: Pandas, NumPy, Matplotlib, Tableau

Machine Learning and Deep Learning: Scikit-learn, TensorFlow

Database Management Systems: MySQL, Oracle, MongoDB

Cloud Technologies: AWS, Azure, Google Cloud Platform

Data Engineering: ETL, Data Warehousing, Data Integration

Data Science: Statistics, Data Modeling, Predictive Analytics

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