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Data Science with 1+ years in Python, ML & 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
I am a visionary computer engineer who blends technical expertise with innovative thinking. My work involves designing and optimizing cutting-edge software and hardware systems, solving complex challenges, and driving technological advancement.
Godavari College of Engineering
B.Tech · Computer Science Engineering
August 1, 2022 – June 30, 2026
Chhatrapati Shivaji Junior College Jalgaon
Senior Secondary (XII) · Science
June 1, 2022 – May 31, 2022
VPEMS HIGH SCHOOL
Secondary (X)
June 1, 2020 – May 31, 2020
Labmentix Pvt. Ltd
Data Analytics Intern • Internship
April 1, 2025 – June 1, 2025
India
Webstack
Full Stsck Web Development • Internship
April 1, 2025 – November 1, 2025
India
Coding Club India
Data Analytics s Web Development Internship
June 1, 2024 – November 1, 2024
India
Axentra OS
Python Developer Internship
January 1, 2024 – September 1, 2024
India
PHN Technology
Java Programmer
January 1, 2022 – December 1, 2023
India
Crop Recommendation System
September 1, 2025 – March 1, 2026
A crop recommendation system can be enhanced by integrating modern technologies such as machine learning algorithms, IoT sensors, GIS mapping, and cloud computing. Machine learning helps analyze soil properties, weather conditions, and historical yield data to predict the most suitable crops, while IoT devices collect real-time information on soil moisture, pH, and temperature. GIS and remote sensing provide spatial and satellite data to assess land and climate conditions, and cloud platforms ensure scalable storage and easy access to insights through mobile or web applications. Additionally, big data analytics can process large agricultural datasets, and blockchain can be used for secure data sharing and traceability. Together, these technologies create a smart ecosystem that empowers farmers with accurate, data-driven crop recommendations, improving productivity and sustainability.
Image Classification using KNN for Real-Time Face Detection
June 1, 2024 – February 1, 2025
Implemented KNN classifier for face identification with consistent 97% accuracy on test data. Integrated OpenCV and Haar Cascades for high-speed frontal face detection under 700 ms. Achieved under 3% error rate using feature engineering on 1,000+ facial images.
Handwritten Digit Recognition
August 1, 2023 – January 1, 2024
Achieved 95% classification accuracy on MNIST dataset using optimized K-Nearest Neighbors algorithm. Reduced prediction latency by 25% through efficient vectorized operations and NumPy optimizations. Enhanced model performance via Grid Search CV and K-fold cross-validation for hyperparameter tuning. Built a scalable machine learning pipeline with 30% faster processing on large handwritten image datasets.
Air Quality Prediction
June 1, 2022 – March 1, 2023
Built a regression-based pollution forecasting model; enabled early alerts and regional AQI trend analysis. Boosted performance to 98% using NLP techniques like Bag of Words, TF-IDF, and Word2Vec. Conducted in-depth data analysis and cleaning, ensuring 98% completeness and consistency. Validated model inputs with 90% feature analysis for reliable and high-quality predictions.
GenAI Job Simulation
Forage
March 1, 2025 – Present
Data Visualisation
Forage
March 1, 2025 – Present
Data Analytic Job Simulation
Forage
March 1, 2025 – Present
Data Science Job Simulation
Forage
February 1, 2025 – March 1, 2025
Master The Basis
edX
October 1, 2023 – February 1, 2024
Python Basics For Data Science
edX
September 1, 2023 – June 1, 2024
Electric Cars: Business
edX
August 1, 2023 – April 1, 2024
Cultural Fit Analysis
The candidate's diverse academic projects and certifications in Data Science, Data Analytics, and GenAI, along with participation in hackathons, suggest a strong interest in continuous learning and innovation. This aligns well with a culture that values growth and problem-solving. The experience, though mostly internships, shows exposure to different technical areas, indicating adaptability. However, the limited professional experience and lack of detailed descriptions for most roles make it challenging to fully assess cultural fit beyond a general enthusiasm for technology.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and skill development through numerous certifications and participation in extracurricular activities. The project descriptions highlight an ability to work on complex problems and optimize solutions. However, the lack of detailed descriptions for most internships makes it difficult to fully assess operational fit and collaboration skills in a professional setting.