Sudheer Tanneru
Jersey City,NJ
Summary
Experienced data and analytics professional leveraging complex data to drive business solutions. Skilled in Python, SQL, and Tableau for analytical purposes. Demonstrated ability to develop predictive models, conduct statistical analyses, and present insights to stakeholders for strategic decision-making. Proven success in improving operational efficiencies and supporting data-driven initiatives in fast-paced environments. Strong background in academic research and data-driven analysis, with a proven ability to contribute to impactful projects and adapt to evolving research needs. Collaborative spirit and consistent focus on achieving project goals. Proficient in statistical analysis, laboratory techniques, and academic writing.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Graduate Research Assistant
Saint Peter’s University
09.2024 - Current
- Extracted election-related data from Reddit using Python (Beautiful Soup, Scrapy) and identified key political subreddits for analysis
- Cleaned and preprocessed data using Pandas to ensure consistency and quality, removing noise and irrelevant content
- Conducted sentiment analysis with NLTK and TextBlob, applying NLP techniques to analyze tone, context, and public opinion on candidates and issues
- Identified emerging trends in election discourse using R for statistical analysis, comparing findings with traditional polling data
- Integrated Reddit data with demographic and polling datasets using SQL and Excel for comprehensive insights
- Visualized key trends through graphs and dashboards using Matplotlib and Tableau
- Drafted data-driven reports and collaborated with the research team to refine research questions and explore new data sources
- Ensured ethical data usage, compliance with Reddit’s terms of service, and adherence to data privacy regulations
Data Analyst
EA Team Inc
09.2020 - 06.2023
- Gather and integrate large datasets from multiple sources, including sales, inventory, customer feedback, and online behavior data
- Clean and preprocess raw data to ensure accuracy and consistency, including handling missing values, removing duplicates, and correcting errors
- Perform exploratory data analysis to uncover trends, patterns, and anomalies in the data using statistical methods and visualization tools
- Create interactive dashboards and reports using Tableau and Power BI to visualize key performance metrics and insights for stakeholders
- Conduct statistical analyses and develop predictive models using Python, R, and SQL to forecast sales, optimize inventory, and understand customer behavior
- Provide actionable insights and recommendations to support business decisions, such as pricing strategies, promotional effectiveness, and supply chain optimization
- Work closely with cross-functional teams, including marketing, finance, and operations, to understand their data needs and provide tailored analytical solutions
- Prepare and deliver clear, concise, and data-driven presentations to senior management and other stakeholders, highlighting key findings and recommendations
- Identify and implement process improvements to enhance data collection, analysis, and reporting efficiency, ensuring timely and accurate delivery of insights
- Ensure compliance with data privacy regulations and company policies, maintaining data security and confidentiality while promoting best practices in data governance
- Client: Walmart
Education
Master of Science - Data Science
Saint Peter’s University
Jersey City, NJ05.2025
Bachelor of Science - Electronics and Communications Engineering
Lovely Professional University
06.2020
Skills
- Python
- SQL
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Tableau
- Power BI
- Scikit-learn
- TensorFlow
- Hypothesis testing
- Regression analysis
- Data cleaning
- Exploratory data analysis
- Teamwork and collaboration
- Academic presentations
Certification
- Applied Data Science with Python – Level 2 by IBM
- Data Analysis using Python by IBM
- Data visualization using Python by IBM
- Python for Data Science
- Deep Learning with TensorFlow by IBM
- MS SQL Developer
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Languages
English
Full Professional
Interests
Cricket
Work Preference
Work Type
Full TimeLocation Preference
On-SiteRemoteHybridImportant To Me
Career advancementCompany CultureWork-life balanceHealthcare benefitsQuote
Yesterday’s home runs don’t win today’s games.
Babe Ruth
Timeline
Graduate Research Assistant
Saint Peter’s University
09.2024 - Current
Data Analyst
EA Team Inc
09.2020 - 06.2023
Master of Science - Data Science
Saint Peter’s University
Bachelor of Science - Electronics and Communications Engineering
Lovely Professional University
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