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Data Science with less than a year in Data Science & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-Level Data Scientist with hands-on experience in EDA, statistical modeling, and predictive analytics. Proficient in Python, SQL, and machine learning algorithms, with expertise in NLP, forecasting, and data visualization using Tableau and Power BI. Skilled in model deployment on Stream-lit Cloud, feature engineering. Passionate about leveraging data to solve business problems in healthcare, finance, and customer analytics.
Vaageswari College Of Engineering
B.Tech · Computer Science And Engineering
August 1, 2021 – June 30, 2025
Alphores Jr College
Higher Secondary · MPC
June 1, 2019 – May 31, 2021
Ai Variant
Data Science Intern
February 1, 2025 – August 1, 2025
India
ExcelR EdTech
Data Science Trainee
October 1, 2024 – January 1, 2025
India
Customer Segmentation on Marketing Campaign Analysis
June 16, 2026 – Present
Conducted EDA and applied K-Means clustering to segment customers based on spending. Identified 3 customer segments, enabling targeted marketing strategies projected to improve retention by ~12%.
Recommending the books to the users.
June 16, 2026 – Present
Developed a hybrid recommendation engine that suggests books to users using both similarity-based (collaborative filtering) and popularity-based approaches.. Implemented user-item similarity metrics to personalize recommendations and integrated popularity trends to enhance cold-start performance
Titanic Survival Prediction
June 16, 2026 – Present
Developed a binary classification model using Random Forest and Logistic Regression to predict passenger survival. Achieved 82% accuracy by applying feature engineering, missing value imputation, and hyperparameter tuning.
Hourly Energy Consumption Forecasting
June 16, 2026 – Present
Created a time-series forecasting model using ARIMA, Prophet, and LSTM to predict hourly electricity consumption. Reduced forecasting error with MAPE of 7.5%, enabling better energy distribution planning.
Gold Medalist – Statistics Test
Skillyst
May 1, 2025 – Present
Data Science Certification
ExcelR EdTech
January 1, 2025 – Present
Accenture Data Analytics and Visualization Simulation
Forage
December 1, 2024 – Present
Machine Learning
Nasscom
March 1, 2023 – Present
Cultural Fit Analysis
The candidate shows a strong interest and commitment to the Data Science field through diverse academic projects, two internships, and multiple certifications. The variety of projects (NLP, time-series, segmentation, recommendations) indicates adaptability and a broad learning appetite. The focus on practical application and problem-solving aligns well with a dynamic data science environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical work into business impact (e.g., 'improve retention by ~12%', 'reduced forecasting error with MAPE of 7.5%'). The internship experience at Ai Variant highlights collaboration and deployment aspects, suggesting a good operational fit. However, direct evidence of communication and teamwork skills from the provided data is limited.