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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLEEDUCATIONThe University of Texas at Austin, Master of Science, Business Analytics, GPA: 3.6/4.0 Jul Street Address -May 2024 Key Courses: Optimization, Advanced ML, Unstructured Data Analytics, Marketing Analytics, Demand/Pricing Analytics, Deep LearningM.S Ramaiah Institute of Technology, IndiaBachelor of Engineering, Electronics and Instrumentation, GPA: 9/10 Jul 2017-Jul 2021 PROFESSIONAL EXPERIENCEGeneral Motors-Data Scientist; Austin, Texas Jan 2024 May 2024 Utilized intelligent feature engineering and predictive modeling, leveraged Tableau for visualizations to predict the best 100+ locations in Texas for EV charger infrastructure, strategically boosting EV adoption rates Infosys System Engineer (Analyst), Bangalore, India Oct 2021-Jun 2023 Through data analysis and A/B testing, worked with teams to optimize SW dev processes, drastically improve user experience, and drive a 25% increase in customer satisfaction metrics Used machine learning to improve marketing campaign performance and client retention by 40% and 15%, Implemented SQL and Python to analyze, clean, and structure huge datasets from enterprise data warehouses, resulting in a 15% increase in data processing efficiency Led a cross-functional project to improve data management and automation, resulting in a 20% decrease in operational expensesShadowfax Data Analyst, Bangalore, India Apr 2021-Oct 2021 Developed a predictive model to forecast logistics demand, which led to a 12% boost in operational efficiency Managed the full data lifecycle from sourcing to maintenance, boosting database efficiency and contributing to a 20% decrease in logistical costs through optimized data management procedures Optimized the client's logistical operations and achieved a 15% improvement in delivery times by applying advanced analytics using Python and SQL to track eCommerce deliveries and analyze supply chain effectiveness Enhanced delivery operations resulted in a 10% improvement in customer satisfaction by using Power BI to build analytical representations of delivery indicators, enabling strategic decisions ACADEMIC PROJECTSDriver Drowsiness Facial Image Analysis (Medium Article) Nov 2023 Efficient Net Architecture to develop a reliable and efficient eye detection model to prevent drowsiness Sentiment Analysis for iPhone 14 and iPhone 15 (GitHub) Oct 2023 Performed sentiment analysis (using VADER), topic modeling (using LDA) and BERT Marketing Optimization and A/B Testing (GitHub ) Oct 2023 Investigated the effectiveness of campaigns using A/B testing, CLV, and regression analysis, focusing on click-through rate, conversion rate, and cost per click Fine-Tuning Llama-2 on Together.ai for Text Summarization (Medium Article) Nov 2023 Together.ai for fine-tuning Llama-2 to summarize customer reviews from different restaurants TECHNICAL SKILLS Core Competencies: Azure, Data Mining, Exploratory Data Analysis, Data Cleansing, Snowflake, Hypothesis Testing, Data Visualization, A/B Testing, Web Scraping, Data Segmentation, Data Preprocessing, Quantitative Analysis, Statistics Computer Languages: SQL, Python, R Dashboarding Tools: Excel, PowerPoint, Power BI, Tableau, Looker Python Libraries: NumPy, Pandas, Sckit-Learn, Scipy, Matplotlib, Seaborn, Selenium, Gurobipy, Pytorch, Keras Data Science: Regression, Classification, Neural Networks, Recommender Systems, Decision Tree, Ensemble Methods, Clustering |
