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Data Science with less than a year in Data Analysis & Predictive Modelling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst and Computer Science graduate with hands-on experience in data analysis, predictive modelling, KPI tracking, dashboard automation, and stakeholder reporting. Proficient in SQL, Python (Pandas, NumPy, Scikit-learn), Excel, and BI dashboarding. Proven ability to clean and analyse structured and unstructured datasets, identify trends and patterns, and deliver data-driven insights that support business decision-making. Experienced in Agile delivery and cross-functional collaboration.
Jaypee Institute of Information Technology
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
Blockseblock
Blockchain Developer Intern
May 1, 2025 – July 1, 2025
India
EQUILIX - Mental Health Predictive Analytics Platform
June 1, 2026 – Present
Collected and cleaned DASS-21 dataset; built SVM and KNN predictive models to analyse mental health trends and cohort patterns. Developed interactive BI dashboards and automated exportable PDF reports, enabling data-driven decision-making for practitioners.
CallMeAI - AI-Powered Behaviour Analytics System
June 1, 2026 – Present
Integrated AI voice transcription to track user behaviour; built dashboards for call logs, weekly performance analytics, and engagement metrics. Applied pattern recognition and behavioural analytics to surface insights, improving user retention metrics.
OCTO Movement & Performance Analytics Platform
June 1, 2026 – Present
Designed statistical scoring models and historical trend detection for personalised performance feedback and longitudinal progress tracking. Created operational dashboards enabling rapid data-driven decision-making across workout sessions.
MySQL Database Certification
Accenture LearnVantage
June 1, 2026 – Present
Python Programming Certification
Accenture LearnVantage
June 1, 2026 – Present
Achieved 94% on the Data Scientist — Artificial Intelligence test, indicating a very strong grasp of the subject matter and practical application.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in applying data science to various domains, including mental health, behavioral analytics, and performance tracking. The internship as a Blockchain Developer Intern, while not directly Data Science, shows adaptability and exposure to different technical environments. The leadership activities further indicate a proactive and engaged individual. The breadth of skills and project diversity suggest a good cultural fit for a dynamic and innovative team.
Soft Skills & Operational Fit
The candidate's resume highlights experience in Agile sprints and collaboration with cross-functional stakeholders, indicating good teamwork and operational fit. Leadership roles in college clubs suggest strong organizational and coordination skills. The psychometric test score of 282/500 is moderate, suggesting potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which would require further investigation.
Achieved a perfect 100% on the Data Engineer — Azure test, demonstrating expert-level proficiency in Azure data engineering, Databricks DLT, streaming, and cost optimization.
Strengths
Limitations