Machine Learning Data Scientist

MANEESH POLAVARAPU

United States +1-203-***-**** **********.*********@*****.*** LinkedIn GitHub

PROFESSIONAL SUMMARY

Data Scientist with 2.6 years of experience in data analytics, machine learning, and business intelligence. I have hands-on experience with Python, SQL, Power BI, and Tableau to analyze data and build useful models. I can create predictive models, perform exploratory data analysis (EDA), and build ETL pipelines to help with decision-making. I enjoy working with different teams to solve business problems and provide insights that make a real impact. I am always looking to learn more and improve my skills in data science.

SKILLS

•Programming & Data Processing: Python (Pandas, NumPy, Scikit-learn), SQL

•Machine Learning & AI: Predictive modeling, NLP, Time series forecasting, A/B Testing

•Data Visualization & Analytics: Power BI, Tableau, Matplotlib, Seaborn

•Big Data & Cloud Technologies: Google Cloud (BigQuery), AWS (S3, Redshift)

•Statistical & Business Analysis: Causal inference, Data mining, Operations research

•Software Development: Git, Agile methodologies, Model deployment

PROFESSIONAL EXPERIENCE

Data Scientist AT&T

Remote June 2024 - Present

•Developed machine learning models to enhance customer segmentation, improving targeting efficiency by 20%.

•Implemented predictive analytics solutions to forecast customer behavior, resulting in a 15% reduction in churn.

•Designed and maintained ETL pipelines using Google Cloud Platform (BigQuery, Dataflow) for real-time data processing.

•Built interactive dashboards in Power BI and Tableau to provide actionable insights for stakeholders.

•Optimized data structures and developed automated reporting solutions, reducing manual effort by 30%.

•Collaborated with cross-functional teams to ensure data integrity and compliance with industry standards.

Data Scientist Federal Soft Systems Inc.

Bangalore, India December 2021 - December 2022

•Analyzed large datasets to derive actionable insights, supporting data-driven business decisions.

•Designed, developed, and optimized SQL queries and ETL pipelines for seamless data transformation and integration.

•Developed data visualization dashboards in Tableau & Power BI to present insights effectively.

•Assisted in A/B testing to evaluate the impact of new business strategies.

•Explored healthcare data systems like Epic and Cerner while ensuring HIPAA compliance.

Software Engineer AIRobosoft Products and Services.

Bangalore, India June 2021 - December 2021

•Assisted in data handling, database management, and SQL development during the early stages of my career.

•Gained basic knowledge of data handling, SQL, and databases while assisting with simple tasks.

•Helped with testing and debugging, improving my understanding of how software works.

•Observed and learned from team discussions, Agile practices, and project workflows.

•Developed an interest in data science by exploring company projects and asking questions.

PROJECTS

COVID-19 EDA Project: GitHub

•Performed extensive EDA on global COVID-19 datasets to identify trends in infection rates, recoveries, and fatalities.

•Created informative visualizations to illustrate the impact of the pandemic on different regions.

•Integrated external data sources to enhance the analysis with additional contextual information.

•Presented findings in interactive dashboards to aid public health decision-making.

•Technologies Used: Python, Pandas, Matplotlib, Seaborn, Jupyter Notebook.

Sales Forecasting Project: GitHub

•Built time-series forecasting models with ARIMA and LSTM to predict future sales trends.

•Conducted data cleaning, preprocessing, and feature engineering to prepare datasets for analysis.

•Evaluated model performance using cross-validation techniques to ensure accuracy.

•Conducted data cleaning, preprocessing, and feature engineering to prepare datasets

•Technologies Used: Python, Pandas, Matplotlib, Seaborn, Jupyter Notebook.

Amazon Prime Video Analytics: GitHub

•Designed an interactive Power BI dashboard to analyze Amazon Prime Video's movie and TV show data.

•Processed and cleaned a dataset of 9,655 titles, extracting key insights on genres, ratings, and release trends.

•Created data visualizations to display total titles, ratings distribution, director count, and genre popularity.

•Analyzed content distribution by country using geospatial visualizations.

•Implemented time-series analysis to study content trends from 1920 to 2021

•Developed custom filters and drill-through features for better user interaction and data exploration

•Applied SQL queries and Power Query transformations to clean and structure raw data efficiently

Employee Attrition Analysis and Prediction: GitHub

•Conducted exploratory data analysis (EDA) on employee data to identify trends and factors contributing to attrition.

•Built predictive models using Python (Pandas, NumPy, Scikit-Learn) to forecast potential employee attrition.

•Implemented feature engineering techniques to improve model performance and accuracy.

•Created interactive dashboards with Power BI to present findings and help HR teams develop retention strategies.

•Delivered actionable insights that can assist in reducing attrition and optimizing workforce planning.

CERTIFICATIONS

•MySQL Database Development Mastery

•Microsoft Excel - Learn MS Excel for Data Analysis

•Python in Microsoft Power BI to Enhance Reporting Power

•Google Data Analytics Professional Certificate

•PwC Switzerland Power BI Completion Certificate

•Data Science Certificate by British Airways

EDUCATION

•University of Bridgeport, Bridgeport, Connecticut

Master of Science in Computer Science, GPA: 3.31 Graduation Date: May 2024

•Vignan’s University, Guntur, Andhra Pradesh

Bachelor of Technology in Information Technology, GPA: 7.66 Graduation Date: May 2022

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