Data Analyst Analytics

ANISHA SINGH

737-***-**** •******.*****@******.*** • www.linkedin.com/in/anisha-singh-8b8a721a0/

EDUCATION

The University of Texas at Austin, Master of Science, Business Analytics, GPA: 3.6/4.0 Jul 2023-May 2024 Key Courses: Optimization, Advanced ML, Unstructured Data Analytics, Marketing Analytics, Demand/Pricing Analytics, Deep Learning

M.S Ramaiah Institute of Technology, India

Bachelor of Engineering, Electronics and Instrumentation, GPA: 9/10 Jul 2017-Jul 2021 PROFESSIONAL EXPERIENCE

General 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 expenses

Shadowfax – 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 PROJECTS

Driver 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

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