Kritika Gaikwad | Master of Science in Business Analytics Seeking Data Science And Data Analytics Opportunities

Kritika Gaikwad

Master of Science in Business Analytics Seeking Data Science And Data Analytics Opportunities

Based in Dallas, TX

About

Hello! I'm Kritika Gaikwad, a Data Scientist and Data Analyst with a Master's in Business Analytics and Project Management (GPA: 3.62/4) from the University of Connecticut and a Bachelor's in Computer Science Engineering (CGPA: 7.91/10) from IET, Indore. With over two years of experience at Alliant Infotech, I've excelled in data analysis, predictive modeling, and machine learning, achieving significant cost reductions and productivity boosts. Proficient in SQL, Python, and R, I thrive on transforming data into actionable insights. I’m eager to leverage my skills to drive data-driven decision-making and strategic planning.

Skills

Projects

Data Science Project: AI Generated Text Detection

Developed a machine learning model using scikit-learn, implementing ensemble techniques, PCA, correlation analysis, and extensive feature engineering. The goal was to classify documents as either human-generated (0) or AI-generated (1) based on document embeddings, word count, and punctuation.

Burgur Bounty: Sales Analysis & Prediction

I developed a Decision Support System (DSS) for Burger Bounty, to enhance sales and operations. I designed Shiny app interface to enter new orders into the datasets. I designed a second app to create a dashboard to summarize aggregate monthly sales per burger and per town.

Location Recommendations for Burger Bounty: Multiple Linear Regression Models

I created app that allows users to input relevant variables and generate data-driven recommendations, helping Burger Bounty make informed decisions on where to operate their food truck each day. Shiny dashboard provides location recommendations for optimizing daily operations and maximizing sales.

Uber Data Analytics

This project aims to analyze Uber data for New York City (NYC) to gain insights into ride patterns, peak hours, and other relevant metrics. The project involves data cleaning, exploratory data analysis (EDA), creating an Entity-Relationship (ER) diagram, database table creation, developing an ETL pi

Experience

2020-2022

Business Analyst

E-commerce Data Analysis and Customer Insights • Streamlined e-commerce Order Management System data retrieval by optimizing SQL queries (CTEs, joins), reducing extraction time by 12%. • Identified 8 customer segments using Python and scikit-learn clustering models, leading to a 10% sales increase through targeted marketing campaigns. • Examined product and category performance to identify top performers and created parameters and calculated fields in Tableau to design interactive dashboards, leading to a 20% improvement in strategic decision-making for future promotions.

2023

Analytics Consultant

Optimized donation pools for CT FoodShare by cleaning and pre-processing 120,000 data entries using Python and Excel. Coordinated with team members to develop KPIs, resulting in a projected 23% increase in donations of nutritious items. Designed and implemented Power BI dashboards to identify bulk purchase opportunities and strategic partnerships, leading to $147K in cost savings while meeting diverse community needs. (Data Visualization) Revamped the marketing strategy by A/B testing proposal, created 3 persuasive PowerPoint presentations to secure buy-in from the senior management team.

2024- Present

Project Analyst

• Leveraged PostgreSQL to extract, clean, and validate a two-year marketing dataset, improving data integrity by 30% and enhancing decision-making across fundraising and outreach channels. • Streamlined data processing by designing and implementing Alteryx workflows to automate the transformation of HubSpot CRM data, reducing manual effort by 20%. • Utilized SQL on Amazon Redshift to segment donor data based on contribution history and engagement patterns, providing actionable insights for targeted fundraising strategies. • Increased donor engagement by 25% by creating and optimizing custom KPIs (ROI, CTR) using DAX functions and delivering interactive Power BI dashboards for stakeholders to track and evaluate campaign performance.

Education

2022-2024

Master of Science in Business Analytics and Project Management

I pursued a Master of Science in Business Analytics and Project Management at the University of Connecticut, graduating with a GPA of 3.62/4. The rigorous program equipped me with a comprehensive skill set in business analytics and project management. Key courses included Visual Analytics, Statistics in Business Analytics, Project Risk Management and Agile Methodologies, Predictive Modeling, Introduction to Project Management, Data Science Using Python, Data Mining and Business Intelligence, Business Decision Modeling, Advanced Business Analytics and Project Management, and Adaptive Business Intelligence. These courses provided me with deep expertise in data analysis, predictive modeling, and project management, preparing me to leverage data for strategic decision-making.

2016-2020

Bachelor of Engineering in Computer Science Engineering

I completed my Bachelor of Engineering in Computer Science Engineering at the Institute of Engineering and Technology, D.A.V.V., Indore, India. This program provided me with a strong foundation in computer science principles and engineering concepts. Throughout my studies, I gained expertise in areas such as programming, algorithms, database management, software engineering, and system analysis. Additionally, I participated in various projects and practical sessions, which enhanced my problem-solving skills and ability to work collaboratively in team environments. My academic journey in computer science engineering laid the groundwork for my subsequent pursuit of advanced studies in business analytics and project management.