Help & Supportcareers@gravityer.com
Data Analytics with 1+ years in Python, SQL & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate (2023) with strong analytical, leadership, and teamwork skills, and over one year of experience as a Data Analyst. Proficient in Python, SQL, Microsoft Fabric and Power BI for data analysis, visualization, and reporting. Adept at transforming raw data into actionable insights to support strategic decision-making in tech-driven environments.
Sir C R Reddy College of Engineering
Bachelor of Technology · Computer Science and Engineering
August 1, 2019 – June 30, 2023
BIEAP
Intermediate · MPC
June 1, 2017 – May 31, 2019
BSEAP
Class 10th · SSC
June 1, 2016 – May 31, 2017
Intellectra AI Solutions (formerly Analytics Space)
Data Analyst
August 1, 2025 – Present
Hyderābād, Telangana, India
Intellectra AI Solutions (formerly Analytics Space)
Data Analyst Intern
October 1, 2023 – July 1, 2024
Hyderābād, Telangana, India
Credit Card Fraud Detection
January 1, 2023 – Present
Processed and analysed 5K+ credit card transactions using Python, Excel, and SQL, Microsoft Fabric to identify suspicious activity and potential fraud patterns. Built interactive Power BI dashboards to visualize transaction trends and fraud indicators, improving detection accuracy by 25%. Automated data cleaning and transformation workflows, enhancing reporting efficiency by 30% and reducing manual effort.
Social Media Analytics
January 1, 2023 – Present
Collected and processed data from 50+ similar content channels using web scraping and Python, ensuring clean, structured datasets for analysis. Built Power BI dashboards to track engagement metrics, audience behaviour, and performance trends, enabling data-driven content strategies. Identified growth opportunities and recommended actionable strategies that increased overall audience interaction by 20%.
OTT Platform Analysis
January 1, 2023 – Present
Cleaned, transformed, and analysed 20K+ OTT user records using Python, Microsoft Fabric ensuring data accuracy for deeper behavioural insights. Performed exploratory data analysis (EDA) to identify churn factors, viewing patterns, and user segments influencing retention. Built semantic models and designed interactive Power BI dashboards to visualize user trends and improve retention-related insights by 18%, aiding strategic decision-making.
EdTech Subscription Analytics
January 1, 2023 – Present
Analysed 1,000+ subscription records using Python, SQL, and Microsoft Fabric to identify enrolment trends, churn behaviour, and revenue patterns. Cleaned and prepared datasets using SQL/PySpark by handling missing values and ensuring data accuracy for reliable analysis. Built semantic models and interactive Power BI dashboards to visualize KPIs such as active subscriptions, retention trends, and course performance to support data-driven decisions.
Advanced certification course in Data Analytics with AI
ExcellenC
June 1, 2026 – Present
Machine Learning with Python
Verzeo
June 1, 2026 – Present
Data Analytics job stimulation
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse domains (OTT, social media, EdTech, fraud detection), indicating adaptability and a broad interest in applying data analytics to different business problems. Their current full-time role as a Data Analyst aligns well with the target role, suggesting a clear career path and commitment to the field. The certifications further demonstrate a proactive approach to skill development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work, particularly in identifying trends and recommending strategies. Their experience in building dashboards and automating workflows suggests an operational fit for roles requiring data visualization and efficiency improvements. The project descriptions also imply good communication of insights, which is crucial for a data analyst role.