Data Analytics Machine Learning

Nikitaa Kenkre

*************@*****.*** LinkedIn GitHub +1-347-***-**** New York, NY

EDUCATION

Master of Science, Management of Technology, Data Analytics, New York University, NY May 2024 Relevant Coursework: Data Analytics and Visualization, Business Analytics, Statistics, ML for Business GPA:3.8/4.0 Bachelor of Technology, Electrical and Electronics Engineering, SRM University, India May 2019 SKILLS

Certifications: Tableau Desktop Specialist

Programming Languages: SQL, Python, R, and Machine Learning with Scikit-learn. Database & Data Warehousing: SQL Server, PostgreSQL, MongoDB, MySQL, ETL Pipelines, Airflow. Data Visualization & Reporting: Tableau, PowerBI, Matplotlib, Seaborn, Confluence. Business Analysis: Requirements Gathering, Business Process Modeling, MS Excel (VBA, Pivots Tables, Functions). Cloud Platforms & Integration: Basic Understanding of AWS, Azure, Google Cloud Platform (GCP). WORK EXPERIENCE

Business Intelligence Analyst Fordi Holdings LLC New York, NY Feb 2024 – Present

● Enhanced business performance by conducting ad hoc analysis, developing PowerBI dashboards, and boosting Key Performance Indicators (KPIs), achieving 12% revenue growth in the third quarter.

● Conducted A/B testing to compare traditional feedback systems with AI-driven models, validated hypothesis using paired t-tests at 5% significance level, leading to an average increase of 5 hours of daily user engagement.

● Developed technical documentation outlining feedback bot’s functionality and user interface specifics, leading to an adoption of 47 users every quarter, thereby enhancing user comprehension and onboarding.

● Crafted test cases and LLM prompts enhancing AI feedback accuracy to 98% reducing user interaction time by 3 secs.

● Performed market analysis and delivered strategic initiatives to C-suite resulting in acquiring 4 clients in 3 months. Data Analyst Bio-Tech Envirocare Systems Pvt Ltd Mumbai, India Jun 2021 – Jul 2022

● Conducted cost/revenue analysis and created PowerBI Dashboards, this enhanced project tracking, supply chain responsiveness and budget management, reducing cost overruns by 22%.

● Designed and restructured SQL databases for interconnectivity between finance, sales, and operations departments, reducing average data retrieval times by 4 minutes and enabling faster, more accurate decision-making.

● Generated ad hoc reports for executive leaders, guiding roadmap planning and reducing project delays by 3 weeks. Application Development Analyst Accenture Mumbai, India Jul 2019 – May 2021

● Optimized SQL queries and automated reporting for Allstate’s insurance databases, achieving 98% accuracy in data testing and securing $38K in performance incentives for the team.

● Applied Agile methodologies and Kanban practices to streamline project timelines, reducing defect count by 25% across 20+ projects and delivering reports using Advanced Excel.

● Implemented QA dashboards in Tableau, saving the team 3 hours weekly in identifying and project pain points.

● Documented business requirements, aligning workflows with business objectives and drove actionable insights.

● Led training sessions for 10 members, reducing training time by 1 month through detailed manuals and presentations. PROJECTS

Adidas Sales Dashboard Link

● Designed a Tableau dashboard to analyze YoY sales performance for Footwear and Apparel, assessing key KPIs including revenue, profit margins, and units sold.

● Formulated 25+ calculated fields, parameters and interactive filters to analyze data by location, sales method, and product category, uncovering the most profitable sectors and high ROI opportunities. Predicting Customer Bookings for British Airways (Python, pandas, NumPy, Data Models, Scikit-learn)

● Optimized data by 25,000 data points through EDA, focusing on customers with higher booking probability through feature importance, enhancing model forecasting accuracy to 85% in Python.

● Mitigated overfitting by 13% with hyperparameter tuning for a Random Forest classifier to predict binary variables. Stock Performance Analysis (R, ANOVA, Statistical Analysis, Regression, Data Mining)

● Analyzed a decade-long stock dataset using the Fama-French three-factor model, explaining 50.36% of return variances, and providing key insights into portfolio strategies based on market size and value factors.

● Confirmed stock's potential for excess returns through hypothesis testing on beta and alpha at 1% significance level.

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