Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Machine Learning & Data Analysis
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 B.Tech student with a strong foundation in Python, Java, and SQL, demonstrating expertise in data analysis, machine learning, and business intelligence. Proven ability to develop and implement AI/ML solutions for real-world problems, including image classification and price prediction. Skilled in data cleaning, feature engineering, model optimization, and creating interactive dashboards to derive actionable insights. Eager to apply technical skills and problem-solving abilities to impactful projects.
National Institute of Technology Jamshedpur
B.Tech · Production and Industrial Engineering
August 1, 2022 – June 30, 2026
QuNITe - The Quizzing Club, NIT Jamshedpur
Joint Secretary
August 1, 2024 – July 1, 2025
Jamshedpur, Jharkhand, India
Sportsperson Image Classifier
January 1, 2025 – July 1, 2025
Implemented a Sportsperson Image Classifier that determines if a given image contains the same sportsperson. Automated workflow to scrape 500 sportsperson images using icrawler, detect faces via OpenCV Haar cascades, extract HOG features, train classifiers (Logistic Regression, SVM, KNN), and select the best model via cross-validation. Provided a test-input image validation step to predict whether it matches the target sportsperson.
View ProjectBengaluru Real Estate Price Predictor
January 1, 2025 – June 1, 2025
Explored and processed 7000+ housing records using feature engineering and data transformation. Developed and validated machine learning models (Linear Regression, Lasso, Decision Tree). Optimized model performance using GridSearchCV and selected the best model based on accuracy. Conducted extensive data cleaning, handled outliers, created data pipeline, and converted categorical features to numeric.
View ProjectReal Madrid 2024-25 Performance Analysis
January 1, 2025 – June 1, 2025
Investigated data from 760+ La Liga matches to isolate Real Madrid's seasonal performance. Parsed match statistics to analyze goal efficiency, win/loss ratios, and team consistency. Designed visual dashboards using Matplotlib and Seaborn to communicate season-wide insights.
View ProjectInventory and Supply Chain Dashboard
January 1, 2025 – January 1, 2025
Designed and implemented an interactive Inventory Supply Chain KPI Dashboard in Power BI to analyze operational efficiency and sales trends. Tracked KPIs including Warehouse Utilisation, Day Sales of Inventory, Inventory Turnover Ratio, Cost by Region Category, Units Sold by Year, COGS by Backorder, Inventory Levels by Region, and Lead Time by Category.
View ProjectCultural Fit Analysis
The candidate's project diversity, ranging from sports analytics to real estate prediction and image classification, indicates a broad interest in applying AI/ML across different domains. Participation in a quizzing club and representing the institute suggests a proactive and collaborative personality. The listed soft skills (communication, leadership, team collaboration) align well with a collaborative work environment. However, the candidate is still pursuing a bachelor's degree, which means their professional experience is limited to personal projects and a part-time club role. This might require a team that is prepared to mentor and integrate a junior professional into a more structured corporate culture.
Soft Skills & Operational Fit
The candidate's experience as Joint Secretary for QuNITe demonstrates strong organizational, event coordination, and team collaboration skills. These soft skills are valuable for operational fit, especially in roles requiring project management or cross-functional teamwork. The resume also lists problem-solving, time management, and communication as soft skills, which are crucial for any technical role.