Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Machine Learning & UI/UX
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven individual with a background in B.Tech and M.Tech (Micro spcl. in AI), currently gaining hands-on experience in data analysis, machine learning, and product design. Proven ability to develop ML models for forecasting, automate ETL pipelines, create interactive dashboards, and optimize solutions using data-driven approaches. Eager to leverage skills in Python, SQL, and various ML libraries to contribute to innovative projects in data science and AI.
Indian Institute of Technology, Kharagpur
B.Tech+M.Tech · Micro spcl. in AI, Metallurgical and Materials Engineering
N/A – June 30, 2025
SR Junior College, Warangal
BIE · XII
N/A – May 31, 2019
SR DIGI School, Warangal
SSC · X
N/A – May 31, 2017
Vasitars
Data Analyst Intern
May 1, 2024 – July 31, 2024
India
Syook
Product Designer
February 1, 2024 – April 30, 2024
India
Finlatics FMEP
Equity Markets Analyst
June 1, 2022 – August 31, 2022
India
Data-Driven Optimization of Resistance Spot Welding using Machine Learning
September 1, 2024 – May 31, 2025
• Preprocessed and analyzed synthetic, experimental datasets using Pandas, NumPy for various input features • Built and evaluated ML models (Random Forest, XGBoost, SVM) using scikit-learn to predict outcomes; visualized results with matplotlib/seaborn and presented insights using accuracy, F1-score, and confusion matrix • Applied Genetic Algorithm and RR3 for optimizing weld parameters; validated model predictions with experimental data and delivered data-driven recommendations to enhance industrial decision-making
View ProjectLoan Default Prediction | JPMC: Quantitative Research Virtual Project
June 1, 2023 – June 30, 2023
• Built model to predict loan defaults using logistic regression, Random Forest, and XGBoost on an imbalanced dataset • Applied preprocessing techniques including missing value imputation and feature encoding to enhance model accuracy • Evaluated model using accuracy, confusion matrix, and ROC curves; achieved 96.9% accuracy with Random Forest
View Project2nd position in Short Film Making competition of Inter Hall General Championship
Sarojini Naidu/Indira Gandhi Hall of Residence, IIT Kharagpur
June 1, 2026 – Present
Bronze medal in 7th International General Knowledge Olympiad
Unknown
June 1, 2026 – Present
Gakusei Merit Certificate for completing the Vedic Maths
SEMAS ACADEMY
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic research, a virtual project with JPMC, and internships in data analysis and product design, suggests adaptability and a willingness to explore different domains. Their involvement in extracurricular activities and leadership roles at IIT Kharagpur indicates a proactive and collaborative mindset, which generally aligns well with dynamic team environments. The blend of technical and design experience shows a broad skill set and a potential for cross-functional contributions.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in optimizing parameters and predicting outcomes. Their experience in presenting insights to stakeholders and collaborating with product/dev teams indicates good communication and teamwork abilities. The 'Positions of Responsibility' section highlights leadership and organizational skills, which are valuable for operational fit.