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Data Science with less than a year in Data Analysis, SQL, and Machine Learning.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A highly analytical and detail-oriented Master of Computer Applications (MCA) graduate specializing in Data Science and Analytics. Eager to apply deep statistical knowledge, advanced database management skills, and business intuition to translate complex business data into clear, actionable insights. Passionate about designing intuitive data pipelines and high-impact visual dashboards that support data-driven decision-making and solve critical business challenges.
MIT College of Management, MIT ADT University
Master of Computer Applications (MCA) · Data Science
August 1, 2024 – June 30, 2026
LawGPT / LexAI – Legal Data Analytics & Dashboard Project
June 23, 2026 – Present
Formulated and executed complex SQL queries, multi-table joins, and aggregations across large databases to isolate critical transaction and document patterns. Automated deduplication, data cleansing, and structuring workflows for 10,000+ records utilizing Python (Pandas) to guarantee absolute data integrity for downstream analysis. Conducted extensive Exploratory Data Analysis (EDA) using distribution summaries and correlation matrices to interpret complex internal patterns and direct structural decisions. Designed and deployed dynamic, user-friendly interactive dashboards in Tableau and Google Data Studio to communicate operational KPIs to cross-functional stakeholders.
NeuroInsights – Healthcare Data Analysis & Visualization
June 23, 2026 – Present
Successfully processed and interpreted massive, time-series EEG healthcare data; developed specific programmatic rules to filter outliers, resolve missing variables, and fix formatting irregularities. Created robust multi-dimensional visualizations including distribution heatmaps, trend lines, and anomaly charts using Matplotlib and Seaborn to uncover meaningful data signals. Engineered and launched an active Streamlit application for real-time tracking, consolidating technical tracking data into easily interpretable KPI metrics.
Databases & SQL for Data Science
IBM
June 1, 2026 – Present
Exploratory Data Analysis for ML
IBM
June 1, 2026 – Present
Data Visualization with Python
IBM
June 1, 2026 – Present
Neural Networks & Deep Learning
DeepLearning.AI
June 1, 2026 – Present
1st Place Winner – Ideathon
MIT ADT University
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse domains (legal, healthcare) and a proactive approach to learning through multiple certifications. The Ideathon award indicates a competitive spirit and ability to innovate. However, the lack of professional experience means there's limited data to assess cultural fit beyond academic and self-driven initiatives. The candidate is currently pursuing a Master's degree, which aligns with continuous learning, a positive cultural trait.
Soft Skills & Operational Fit
The candidate expresses flexibility with work shifts, team setups, and corporate conditions, indicating a willingness to adapt. The Ideathon award suggests strong presentation and problem-solving skills. However, without formal work experience, the practical application of these soft skills in a professional setting is yet to be validated.