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
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
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
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.
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.
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
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.