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Data Science with less than a year in Python, ML & Data Visualization
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Assessing your cultural and operational fit
Motivated Data Science fresher with a strong foundation in Python, SQL, Machine Learning, and Data Visualization. Skilled in extracting insights from data and presenting actionable solutions. Eager to apply analytical and problem solving skills to contribute to data driven decision making in a growth oriented organization.
Biju Patnaik University of Technology, Rourkela
MCA
August 1, 2021 – June 30, 2023
Utkal University
B.Sc
August 1, 2015 – June 30, 2018
AiVariant
Data Science Intern
October 1, 2024 – January 1, 2025
Hyderābād, Telangana, India
Book Recommender System
December 1, 2024 – January 1, 2025
Built a personalized book recommendation system using collaborative filtering and a web application framework. The system accurately predicts customers' interests and recommends popular books, leading to increased customer satisfaction and loyalty. Collected and cleaned book rating data to prepare it for analysis and model training. Performed Exploratory Data Analysis (EDA) to understand user preferences, popular books, and rating patterns. Implemented Recommendation Algorithms such as - Collaborative Filtering (User-Based & Item-Based) And Content-Based Filtering (using book features like genre, author, keywords). Used Cosine Similarity and K-Nearest Neighbors (KNN) to calculate similarity scores between books. Built a hybrid recommendation model combining both collaborative and content-based approaches for improved accuracy. Visualized top-rated and most-recommended books using matplotlib and seaborn. Deployed the model in a simple web interface using Streamlit (optional if done). Documented the complete workflow and results for reproducibility and presentation.
Clustering Global Development Data
November 1, 2024 – December 1, 2024
Developed a country classification model using clustering algorithms and a web application framework. The model accurately predicts a country's development status, enabling informed decision-making and effective resource allocation. Collected and preprocessed global socio-economic and development indicators (e.g., GDP, literacy rate, life expectancy, CO2 emissions). Collected and cleaned data from global development datasets (such as World Bank or UN Data). Performed data preprocessing, handled missing values, and normalized data for model accuracy. Applied K-Means Clustering and evaluated cluster performance using the Elbow Method and Silhouette Score. Visualized results using Matplotlib, Seaborn, and Power BI to interpret clusters and key insights. Identified patterns in development indicators to compare high, medium, and low development groups of countries.
Air Quality (CO2 Emission) Forecasting
October 1, 2024 – November 1, 2024
Developed a CO2 emission forecasting model using smoothing techniques and autoregression models. Deployed using Streamlit, allowing real-time updates for organizations to comply with government regulations and make necessary actions. Performed Exploratory Data Analysis (EDA) to identify trends, correlations, and outliers in country-wise development data. Developed a machine learning model to analyze historical CO2 emission data and forecast future air quality trends for environmental monitoring. Collected and cleaned historical CO2 emission and air quality data from open datasets (like Kaggle or World Bank). Derived insights to help understand the impact of industrial and population growth on air quality. Visualized emission trends and forecast results using Matplotlib, Seaborn, and Power BI. Evaluated model performance using metrics like RMSE, MAE, and R² Score. Applied Machine Learning / Time Series models such as Linear Regression, ARIMA, and LSTM for future prediction.
NPTEL Online Certification in Cloud Computing
IIT Kharagpur
October 1, 2023 – Present
NPTEL Online Certification in Computer Networks and Internet Protocol
IIT Kharagpur
October 1, 2023 – Present
NPTEL Online Certification in Introduction to Industry 4.0 & Industrial IOT
IIT Kharagpur
October 1, 2023 – Present
Data Science Certification
ExcelR, Hyderabad
February 1, 2023 – November 1, 2024
Cultural Fit Analysis
The candidate's projects show a diverse application of data science techniques across different domains (global development, environmental monitoring, e-commerce recommendations), indicating adaptability and a broad interest in problem-solving. The internship experience and project work align well with a Data Science role, demonstrating a proactive approach to gaining practical skills. The certifications from IIT Kharagpur further highlight a commitment to continuous learning and a strong academic foundation. The candidate appears to be a motivated individual eager to contribute to data-driven decision-making.
Soft Skills & Operational Fit
The candidate demonstrates collaboration skills through their internship experience, working with senior data scientists and presenting findings to stakeholders. Their project descriptions indicate an ability to document workflows and results, suggesting good organizational and communication practices. The focus on real-world problem-solving in projects (e.g., predicting development status, forecasting CO2 emissions, recommending books) indicates a practical and results-oriented approach. However, as an intern, direct evidence of leadership, complex problem-solving under pressure, or independent decision-making is limited.