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AI Engineer with less than a year in Python & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Data Analyst and AI & Data Science graduate with hands-on experience in Python, data visualization, machine learning, and full-stack development. Skilled in transforming raw data into actionable business insights using tools like Power BI, Tableau, Pandas, and Scikit-learn. Passionate about leveraging data to solve real-world problems and committed to continuous learning.
Sharad Institute of Technology
BTech · AI & Data Science
August 1, 2021 – June 30, 2025
Shantiniketan School, Sangli
SSC (10th)
N/A – May 31, 2019
MIT, Sangli
HSC (12th)
N/A – May 31, 2021
SPCL Infotech Services Pvt. Ltd.
Junior Python Developer
December 1, 2025 – Present
India
Sales Forecasting & Trend Analysis Dashboard
June 1, 2026 – Present
Developed an end-to-end sales forecasting system using time-series analysis (Linear Regression) on 3+ years of historical retail data. Performed feature engineering, data cleaning, and exploratory data analysis (EDA) to identify seasonal trends and demand patterns. Built an interactive Power BI dashboard visualizing KPIs: revenue trends, regional performance, top products, and forecast accuracy. Achieved ~89% forecast accuracy, enabling proactive inventory and marketing decisions for business stakeholders.
Social Media Brand Sentiment Analysis
June 1, 2026 – Present
Built a complete NLP pipeline to scrape and analyze Twitter/social media data for brand sentiment tracking across product categories. Classified posts into Positive, Negative, and Neutral categories and visualized sentiment trends over time using Matplotlib and Seaborn. Delivered insight reports identifying peak negative sentiment periods and correlating them with product launch events.
Plant Disease Detection – AI/ML System
June 1, 2026 – Present
Built a convolution neural network (CNN) model to classify 15+ plant diseases from leaf images with 93%+ validation accuracy. Performed image pre-processing, augmentation, and model evaluation using confusion matrices and classification reports. Analyzed model performance metrics and optimized hyper parameters to improve precision and recall.
Published a research paper on the IRTJE platform, contributing to academic knowledge in AI/Data Science.
IRTJE platform
June 1, 2026 – Present
Google Generative AI Badge for demonstrated proficiency in AI development and Generative AI tools.
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas within AI/ML (time-series forecasting, NLP, computer vision), indicating a broad interest and adaptability. Their role as a 'Junior Python Developer' aligns with a foundational technical role, and the 'AI Engineer' target role is a natural progression given their academic background. The publication of a research paper and Google Generative AI Badge suggest a proactive approach to learning and contributing to the field, which aligns well with a culture of innovation and continuous improvement.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as data storytelling, critical thinking, research & documentation, and teaching aptitude, which are valuable for collaborative environments and client-facing roles. Their experience in translating complex data findings into clear reports indicates good communication and stakeholder management potential. The academic projects show initiative and problem-solving capabilities.