V SRAVANI
Aspiring Data Analyst
Hyderabad
Summary
Aspiring and detail-oriented Data Analyst with hands-on experience in Python, SQL, Excel, and Power BI. Passionate about uncovering actionable insights to solve real-world business problems and support data-driven decision-making.
Overview
5
5
years of post-secondary education
Work History
Data Analytics Intern
CODTECH IT SOLUTIONS
02.2025 - 05.2025
- Investment Dashboard: Built a Power BI dashboard to analyze investment patterns by gender, objectives, and preferences.
- Employee Performance Model: Developed a Random Forest model to predict KPI ≥ 80% performers with 72% accuracy using HR data. (Python, Scikit-learn)
- Bank Campaign Analysis: Conducted EDA on large datasets to study customer behavior using PySpark.
- Sentiment Analysis: Classified blog sentiments using logistic regression and NLP techniques. (Python, NLTK, TextBlob)
Business Analytics Intern
Cognifyz Technologies
02.2025 - 03.2025
- Analyzed investment data to identify patterns in gender distribution, savings goals, investment avenues, and user behavior.
- Completed 7+ tasks involving data exploration, visualization, descriptive stats, and correlation analysis using Python and Pandas.
Education
Master of Science - Data Science
Christ University Pune Lavasa
08.2023 - 06.2025
Bachelor of Science - Mathematics, Statistics and Computer Science
Loyola Academy Degree And PG College
07.2020 - 06.2023
Skills
Programming & Tools: Python (Pandas, NumPy), SQL (Joins, Subqueries, Aggregations), Excel (Pivot Tables, VLOOKUP, Data Cleaning), Power BI, MS Office Suite
Accomplishments
- TuneSpace – Personalized Music Recommendation
→ Built the Django backend for a web app recommending songs based on user preferences.
→ Collaborated with a 3-member team to integrate machine learning and frontend components. - EDA on Student Feedback Data Using Excel
→ Performed EDA on student feedback to identify patterns and improvement areas.
→ Generated visual reports to support decision-making. - E-commerce Analytics – Meesho, Snapdeal, eBay
→ Analyzed traffic, user behavior, and engagement metrics using GA4 and SimilarWeb.
→ Provided insights through SWOT and competitor analysis.
Work Preference
Work Type
Full TimeWork Location
On-SiteRemoteWork Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Languages
English
Intermediate (B1)
Telugu
Intermediate (B1)
Hindi
Intermediate (B1)
Timeline
Data Analytics Intern
CODTECH IT SOLUTIONS
02.2025 - 05.2025
Business Analytics Intern
Cognifyz Technologies
02.2025 - 03.2025
Master of Science - Data Science
Christ University Pune Lavasa
08.2023 - 06.2025
Bachelor of Science - Mathematics, Statistics and Computer Science
Loyola Academy Degree And PG College
07.2020 - 06.2023
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