Data Science with 1+ years in Power BI, SQL & Python on Microsoft Azure.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 1+ year of experience transforming large-scale datasets into actionable business insights on Microsoft Azure. Proficient in SQL, Python, PySpark, and Power BI delivering executive dashboards, KPI frameworks, and data-driven recommendations across healthcare and FMCG domains. Track record of reducing reporting turnaround by 35%, processing 10M+ daily records, and enabling faster decisions for 50+ stakeholders.
KIIT University, Bhubaneswar
B.Tech · Information Technology
August 1, 2021 – June 30, 2025
KV No.1 HEC
Intermediate
June 1, 2020 – May 31, 2020
Bridgeford School
Matriculation
June 1, 2018 – May 31, 2018
Mu Sigma
Data Analyst (Trainee Decision Scientist)
June 1, 2025 – Present
India
Tata Steel Limited
Web Development Intern
April 1, 2024 – May 1, 2024
India
Note-Making Web Application
June 16, 2026 – Present
Built a fully responsive CRUD note-taking application with real-time state management, adopted by 100+ users for daily task management with zero page-reload latency
Crop Yield Prediction
June 16, 2026 – Present
Conducted EDA and feature engineering across agricultural datasets spanning 15 Indian states, identifying key yield drivers and reducing prediction error by 40% with 95% model accuracy Translated model outputs into interpretable regional insights to support data-driven agricultural planning decisions
Cultural Fit Analysis
The candidate's diverse project experience, including both data science and web development, indicates a broad interest and adaptability. Their role as a Data Analyst (Trainee Decision Scientist) at Mu Sigma aligns with a data-driven culture. The academic background and extracurricular activities suggest a well-rounded individual who can contribute positively to a team environment.
Soft Skills & Operational Fit
The candidate's experience in reducing reporting turnaround, improving decision speed, and automating workflows suggests a results-oriented and efficient approach. Their involvement in organizing university-level sports tournaments indicates leadership and teamwork potential. The ability to translate model outputs into interpretable insights points to good communication and problem-solving skills.