Data Science with 1+ years in Data Collection, ETL, and BI Reporting
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst and Computer Science (AI & ML) graduate (2025, CGPA: 7.38) with hands-on experience in data collection, cleaning, ETL pipeline development, and business intelligence reporting. Proficient in Advanced Excel (Pivot Tables, VLOOKUP, Charts), SQL, Power BI, and Tableau. Proven ability to analyze large datasets, identify trends, build dashboards, and deliver actionable insights that support business decision-making. Strong documentation habits and cross-functional collaboration skills.
Brilliant Institute of Engineering & Technology, Hyderabad
B.Tech · Computer Science (Artificial Intelligence & Machine Learning)
August 1, 2021 – June 30, 2025
Tera Soft
Python Developer Intern
July 1, 2025 – Present
Hyderābād, Telangana, India
Central Institute of Tools and Designs
AI & Data Analytics Intern
January 1, 2025 – March 1, 2025
Hyderābād, Telangana, India
Customer Behaviour Analysis
June 1, 2025 – July 1, 2025
• Collected, cleaned, and validated 50K+ customer records; engineered SQL-optimized ETL batch pipelines that reduced processing time by 35% through query restructuring and data layer optimization. • Applied RFM (Recency, Frequency, Monetary) segmentation to identify high-value customer segments, improving customer engagement by 22% with fully documented methodology. • Built real-time Power BI dashboards to visualize customer segments, trends, and KPIs; delivered actionable business insights to stakeholders following full SDLC.
Multimodal Sentiment Analysis
April 1, 2025 – May 1, 2025
• Collected, processed, and cleaned 10K+ multimodal data points (text + audio); applied NLP and audio feature extraction pipelines to prepare data for analysis. • Analyzed sentiment trends across multiple data modalities using ensemble ML models (NLTK, Transformers, Librosa), achieving 90% F1-score with documented validation metrics. • Visualized model performance, sentiment distributions, and analytical insights in Tableau dashboards; produced clear reports for stakeholder review.
Real-Time QR Code System
February 1, 2025 – March 1, 2025
• Developed an integrated analytics dashboard to monitor system usage, performance, and transaction metrics in real time, supporting data-driven operational decisions. • Optimized backend data handling and service decomposition, improving QR code generation speed by 40% and ensuring accurate, consistent data recording. • Managed codebase via Git with structured version control; documented system architecture, data flows, and performance benchmarks throughout development.
Cultural Fit Analysis
The candidate's academic projects and internships show a diverse range of applications within data analysis, AI, and even full-stack development, indicating adaptability and a broad interest in technical domains. The target role is Data Science, and the candidate's skills and projects align well with this, particularly in data processing, analysis, and machine learning. However, the experience is primarily academic and internship-based, which might require more mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate demonstrates good communication clarity in project and experience descriptions. The English test score of 73% indicates a solid foundation in professional language usage. Experience in Agile environments and cross-functional collaboration suggests good operational fit for team-based roles. The psychometric test score is 0, which means there is no data to evaluate logical reasoning, work attitude, stress handling, or team collaboration from this test.