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Data Science with 3+ years in machine learning, data visualization & scalable data pipelines.
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Assessing your cultural and operational fit
Result-driven Data Analyst using Python, Pandas, NumPy, and SQL to build and deploy end-to-end machine learning solutions. Expert in statistical modeling, data visualization (Matplotlib, Seaborn, Powerbi), and scalable data pipeline development. Skilled in collaborating with cross-functional teams and translating complex data into business-driving insights
Codeme Hub International Pvt Ltd
DATA SCIENCE
January 1, 2025 – June 1, 2025
Inmakes Infotech Pvt Ltd
PYTHON FULL STACK
May 1, 2023 – August 1, 2023
College of Applied Science-IHRD Calicut
MCA
June 1, 2016 – March 1, 2019
TECHOLAS TECHNOLOGIES
DATA SCIENCE TRAINER
October 1, 2025 – Present
Kozhikode, Kerala, India
CODEME HUB INTERNATIONAL PRIVATE LIMITED
DATA SCIENCE INTERN
July 1, 2025 – October 1, 2025
Kozhikode, Kerala, India
REFOC TRADING COMPANY
Inventory Assistant
January 1, 2021 – December 31, 2023
Kozhikode, Kerala, India
Career Recommendation System | Machine Learning Project
June 25, 2026 – Present
• Developed a machine learning-based career recommendation system to suggest suitable career domains based on user skills and interests. • Performed data preprocessing, feature engineering, and exploratory data analysis on career-related datasets. • Trained and evaluated classification models such as Random Forest, Decision Tree, and K-Nearest Neighbors to predict career paths. • Applied train-test split and feature scaling techniques to improve model performance. • Built an interactive interface for users to input skills and receive personalized career recommendations.
Heart Disease Prediction using Machine Learning
June 25, 2026 – Present
• Built a machine learning model to predict heart disease risk using health and lifestyle data • Performed data cleaning, feature selection, and exploratory data analysis (EDA) • Trained and evaluated models including Logistic Regression, Decision Tree, AdaBoost, Gradient Boosting, KNN and Random Forest • Achieved improved prediction accuracy using hyperparameter tuning and model evaluation metrics
Café Sales Analysis & Visualization Project
June 25, 2026 – Present
• Cleaned and transformed raw café sales data using Power Query • Created KPIs such as Total Sales, Average Order Value, Monthly Growth %, and Best-Selling Items • Designed interactive dashboards in Power BI and Tableau with slicers for date, product, and category • Analyzed peak sales, customer purchasing patterns, and revenue trends • Delivered insights that could help improve pricing strategy, inventory control, and staffing decisions
Intelligent Learning assistant for children with Autism Spectrum Disorder
June 25, 2026 – Present
Developed a Desktop application which provide intelligent learning assistant for children with Autism Spectrum Disorder as MCA project
Exploratory data analysis (EDA) project on a Hotel Booking dataset
June 25, 2026 – Present
Analyzed over 100,000+ bookings from city and resort hotelsExplored booking trends, cancellations, stay durations, and customer behaviorVisualized patterns using Seaborn & MatplotlibDiscovered seasonal trends and factors impacting booking outcomes
Forgery detection software for Lottery sellers
June 25, 2026 – Present
Developed an android application for lottery sellers(COLOID) to identify forgeries and manage agents, retailers and customers of the lottery as MCA mini project.
Bus Passenger Information System
June 25, 2026 – Present
Developed an android application Bus Passenger Information System (BPIS) to notify the passengers about the time, route name, route map with a location alarm. (Kozhikode City Based) as degree project
Cultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and machine learning, aligning well with a Data Science target role. The diversity of academic projects (health prediction, career recommendation, sales analysis, hotel booking EDA) indicates a broad interest in applying data science across different domains. The recent training and internship roles suggest a proactive approach to skill development and career transition into data science. The academic nature of most projects, however, means there is less evidence of collaboration within a professional team setting or navigating real-world business constraints, which are key aspects of cultural fit in an industry role.
Soft Skills & Operational Fit
The candidate demonstrates an ability to translate complex data into business-driving insights, as stated in their profile. Project descriptions indicate a structured approach to problem-solving (data cleaning, EDA, model evaluation). The 'Inventory Assistant' role, while not directly data science, suggests organizational skills and attention to detail. The 'Data Science Trainer' role indicates a potential for mentorship and knowledge transfer. However, the overall experience is heavily academic, and the professional data science experience is limited to an internship and a recent trainer role, which might impact operational readiness in a fast-paced industry setting without further validation.