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Data Science with less than a year in data analysis, NLP & dashboard development.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MSc Data Science graduate with hands-on experience in data analysis, NLP, and dashboard development. Delivered data-driven solutions through academic and internship projects, including building machine learning models and interactive dashboards. Strong in Python, SQL, and Power BI with a focus on generating actionable insights and improving decision-making processes.
Nirmala College (Autonomous)
Integrated M.Sc. · Computer Science - Data Science
August 1, 2021 – June 30, 2026
Good Shepherd Public School
CBSE Class XII
June 1, 2018 – May 31, 2020
Gayathri Central School
CBSE Class X
June 1, 2017 – May 31, 2018
ICT Academy of Kerala
Data Science Intern
January 1, 2026 – June 1, 2026
India
Progressive Software Solutions
Full Stack Web Development Intern
August 1, 2025 – December 1, 2025
Muvattupuzha, Kerala, India
Spice Crop Yield Prediction & Decision Support System
June 1, 2025 – June 1, 2026
Designed a data-driven forecasting system using time series and historical agricultural data (weather, soil, market trends) to predict spice crop yield - directly aligned with time series modeling experience required for the role. Implemented ML models (regression, classification) for pattern recognition, crop selection optimization, and risk factor prediction. Built an interactive decision support dashboard in Power BI / Matplotlib to visualize predictions and communicate recommendations to stakeholders.
Use Case Similarity Detection System (NLP & ML)
June 1, 2025 – June 1, 2026
Designed an automated system to detect overlapping/duplicate use cases using lexical and semantic similarity (TF-IDF, cosine similarity, sentence embeddings). Performed full NLP preprocessing pipeline: tokenization, stop-word removal, stemming, and normalization. Built an auto-tuning mechanism that dynamically selected the best-performing similarity model, improving review efficiency and enabling data-driven decision-making.
Power BI Analytics Dashboards (Pizza Sales & Bank Loan Analysis)
June 1, 2025 – June 1, 2026
Developed two end-to-end interactive dashboards with KPI cards, trend analysis, and category breakdowns (MTD/MoM comparisons) to support executive decision-making. Applied data mining techniques to identify top-performing products, high-risk loan categories, and regional performance patterns. Used Power Query for ETL/data cleaning and DAX for calculated metrics, demonstrating strong data storytelling and visualization skills.
HR Analytics Dashboard
June 1, 2025 – June 1, 2026
Developed an interactive HR Analytics Dashboard in Microsoft Power BI to analyze employee data, workforce distribution, attrition trends, and performance metrics. Designed dynamic visualizations, KPIs, slicers, and drill-through reports to enable data-driven decision-making and improve HR insights. Performed data cleaning, transformation, and modeling using Power Query and DAX to ensure accurate and efficient reporting.
Stay Connect: AI-Powered Hostel & Alumni Engagement Platform
June 1, 2025 – June 1, 2026
Built an AI-driven disease prediction module using symptom analysis, applying classification algorithms and predictive analytics.
National Workshop on Machine Learning Algorithm Implementation using Python
Unknown
June 1, 2026 – Present
Certification in Essentials of Generative AI (GenAI)
Unknown
June 1, 2026 – Present
Data Analysis & Interpretations using SPSS
Unknown
June 1, 2026 – Present
Work Readiness Program
ASAP Kerala, KKEM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse range of applications for data science, from HR analytics and sales performance to crop yield prediction and disease prediction. This breadth of interest and application, coupled with an internship in a research and solutions department, suggests an adaptable and curious individual. The full-stack development internship also indicates a willingness to explore complementary skill sets, which can be valuable in a dynamic team environment. The focus on data-driven decision-making and actionable insights aligns well with a results-oriented culture.
Soft Skills & Operational Fit
The candidate lists strong analytical thinking, data storytelling & presentation, cross-functional collaboration, self-motivation, adaptability, attention to detail, effective communication, and time management. These soft skills are crucial for a Data Scientist role, especially the ability to communicate complex technical findings and collaborate within teams. The project descriptions also reflect an operational fit for roles requiring end-to-end data solution development.