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PHONE NUMBER AVAILABLE LINKEDIN LINK AVAILABLE  EMAIL AVAILABLE EDUCATIONUniversity of Massachusetts Amherst, Isenberg School of Management Candidate, May Street Address  Master of Science in Business Analytics (Data Analytics Track) Cumulative GPA:4/4Relevant Coursework: Data Science for Business, Machine Learning & AI in Business, Supply Chain Analytics, Data Visualization in Business, Business Intelligence & Analytics, Data Management for Business Leaders, Business Application Development: Python, Business Statistics for Business, Data Mining in Business, Project Management Birla Institute of Technology and Sciences, Pilani Street Address -2021 Bachelor of Engineering in Mechanical Engineering Relevant coursework: Machine Learning, Computer Programming, Supply Chain Management, Probability and Statistics WORK EXPERIENCEWipro Limited Bangalore, IndiaData Analyst August 2021-December 2022Collaborated with a client to analyze and segment credit card transaction data using price elasticity models, identifying key customer behavior patterns and tailoring marketing strategies that led to a notable 25% increase in conversion rates.Conducted comprehensive churn analysis to anticipate customer attrition trends and successfully implemented a predictive model with an 85% accuracy rate. Enabled proactive retention strategies, resulting in a 20% reduction in churn rate.Conducted in-depth analysis of credit card transaction data to identify and mitigate fraudulent activities, ultimately reducing fraud losses by a substantial 15%.Developed and maintained multiple tableau dashboards for card portfolio and offer campaigns that helped the marketing executives in developing long term strategies.Implemented robust continuous monitoring systems and KPI tracking PowerBI dashboards to meticulously track customer satisfaction metrics. This proactive approach led to a commendable 15% increase in overall customer satisfaction scores, further enhancing the client's competitive edge in the market. Maruti Suzuki India Gurgaon, IndiaData Analyst Intern May 2019- July 2019Automated data-driven analysis to optimize Truck Turn Around Time (TTAT) at the Manesar plant, implementing process enhancements that slashed TTAT by 20% resulting in enhanced plant efficiency and significant cost reductions.Optimized inventory management processes within the assembly plant through detailed data analysis and spreadsheet utilization with a cross-functional team, resulting in a 2% production increase within a 3-month period. ACADEMIC PROJECT EXPERIENCEMachine Learning Classification projects to predict Loan Eligibility and to predict football game outcome.Leveraged Python libraries for preprocessing raw data, enhancing data quality and efficiency; conducted detailed Exploratory Data Analysis to drive data-driven insights and decision-making.Implemented cross-validation techniques on loan eligibility dataset to identify best-performing ML model. Optimized Hyperparameters for Gradient Boosting Machine model, achieving 85% accuracy and 90% F1-score.Developed an innovative predictive analytics framework specifically tailored for predicting football match results in the 22/23 EPL season; the Random Forests model stood out by achieving a 3.5% accuracy enhancement over the baseline model. Movie Review Sentiment Prediction with Machine Learning Algorithms.Programmed a sentiment analysis of 40,000 IMDb reviews, achieving validation and test scores of 0.8846 and 0.892 respectively.Employed advanced NLP techniques including HTML tag removal, word tokenization, and lemmatization to classify reviews into positive and negative sentiments. Communicated key insights through word cloud visualizations.Designed a Logistic Regression model with 89.2% accuracy, classifying 2537 reviews as positive and 2463 as negative.Implemented a collaborative filtering recommendation system to enhance movie recommendations, achieving an 85% success rate in predicting user preferences.SKILLSProgramming: Python (NumPy, Pandas, Matplotlib, Scikit-learn), R, C++, SQL, SASCertifications: Data Analytics Specialist, Advanced Google Analytics, Microsoft PowerBI Data AnalystDatabases/Big Data Technologies: MySQL, Snowflake, SparkReporting/Project Management Tools: Tableau, Power BI, MS Office (Word, PowerPoint, Excel, Visio, Project), JIRACompetencies: Business Analysis, Requirements Gathering, Agile Methodologies, Statistical Analysis (ANOVA, Hypothesis Testing), Predictive Modelling, Machine Learning (Linear/Logistic Regression, K-Means Clustering, Decision Tree, Random Forest, SVM), Time Series Forecasting, Data Visualization, Statistics and Probability