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Data Science with less than a year in Data Analytics and Data Engineering.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
M.Sc Physics graduate with strong analytical, problem-solving, and data interpretation skills developed through scientific research projects. Experienced in collecting, analyzing, and visualizing experimental data, identifying trends, and drawing data-driven conclusions. Skilled in SQL, Excel, Python, Power BI, and data analysis, seeking opportunities in Data Analytics and Data Engineering.
University of Hyderabad
M.Sc. · Physics
October 1, 2021 – May 1, 2023
Providence womens college
B.Sc. · Physics
June 1, 2018 – May 1, 2021
SQL Data Analysis Project
June 1, 2026 – Present
Analyzed structured datasets using SQL queries to extract and summarize data. Performed data exploration using filtering, sorting, grouping, aggregate functions, and joins. Generated insights by identifying patterns and trends within customer and transaction datasets. Created queries to answer business-focused questions and support data-driven decision-making.
Fe2O3/TiO2 Nanocomposites Project
June 1, 2026 – Present
Collected and analyzed experimental data from multiple characterization techniques including XRD, FESEM, UV-Vis, Raman Spectroscopy, and VSM. Interpreted structural, optical, and magnetic property datasets to identify material behavior and performance trends. Presented findings through data visualization and technical reporting.
Chromium Thin Film Project
June 1, 2026 – Present
Measured and compared etching rates of chromium, photoresist, and glass under different process conditions. Analyzed experimental results to evaluate process performance and identify optimal etching parameters. Gained experience in data collection, process monitoring, and interpretation of experimental measurements.
Hertzsprung-Russell Project
June 1, 2026 – Present
Analyzed stellar datasets using luminosity, temperature, and magnitude measurements. Calculated stellar radii and distances using scientific models and observational data. Created and interpreted graphical visualizations to identify classification patterns among stars.
The Complete SQL Bootcamp: Go from Zero to Hero
Udemy
June 1, 2026 – Present
Power BI Beginner to Pro Workshop
Pragmatic Works
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Physics and diverse scientific projects indicate a strong research-oriented mindset and an ability to tackle complex problems. The projects, while academic, show initiative in data analysis and visualization. However, the lack of collaborative project experience or industry exposure makes it difficult to fully assess cultural fit for a team-oriented data science role. The certifications in SQL and Power BI show a proactive approach to skill development relevant to the target role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical, problem-solving, and critical thinking skills, which are valuable for data-centric roles. Their experience in interpreting experimental data and presenting findings suggests an ability to work with complex information and communicate results. However, the lack of professional experience means operational fit in a corporate data science environment is unproven.