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Data Science with less than a year in Data Analytics & Machine Learning
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Assessing your cultural and operational fit
Final year B.Tech student at BIT Mesra (CGPA: 8.52) with hands-on experience in Data Analytics, SQL, Python, Power BI, Advanced Excel, VBA, and Macros through industry-oriented projects at SURE Trust. Skilled in analyzing complex datasets, automating reporting processes, building interactive dashboards, and developing data-driven solutions to solve business problems. Strong foundation in statistics, logical reasoning, and problem-solving, with the ability to transform data into actionable insights for decision-making. Passionate about leveraging analytics, technology, and first-principles thinking to drive business impact while collaborating effectively in fast-paced team environments.
Birla Institute of Technology Mesra, Ranchi
Bachelor of Technology · Computer Science/Engineering
August 1, 2023 – June 30, 2027
SURE TRUST
DATA SCIENTIST
June 1, 2025 – December 31, 2025
India
Wine Quality Intelligence Suite
November 1, 2025 – December 31, 2025
Analyzed quality drivers and identified key factors influencing wine ratings, helping stakeholders understand product quality trends. Utilized DAX functions to calculate key performance indicators (KPIs) such as Total Sales, Profit Margin, Year-over-Year Growth, and Average Discount. Built interactive dashboards that enabled monitoring of KPIs, sales performance, and profitability trends to support strategic decision-making. Configured slicers and KPI cards to visualize model accuracy and risk profiles.
Sentiment Analysis
June 1, 2025 – December 31, 2025
SDLC Development: Engineered a machine learning pipeline to classify text data into sentiment categories (positive, negative, neutral) using an Agile approach to feature refinement. Performed data cleaning, tokenization, stopword removal, and TF-IDF vectorization for feature extraction. Implemented algorithms like Logistic Regression / Naive Bayes / Random Forest for sentiment prediction and compared their accuracy. Visualized results using Matplotlib and Seaborn to interpret sentiment distribution. Analyzed customer sentiment to help understand customer satisfaction patterns. Developed predictive models to support data-driven decision making.
View ProjectCultural Fit Analysis
The candidate's projects and internship show a clear focus on applying data science to solve business problems, indicating a results-oriented mindset. The collaboration with peers mentioned in the internship suggests a team-player attitude. The diversity of projects (wine quality, sentiment analysis) and the range of technologies used (Python, SQL, Power BI, various ML algorithms) indicate a broad interest and adaptability, which are good indicators for cultural fit in a dynamic data science environment. However, the experience level is entry-level, which might require more mentorship.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical, problem-solving, and communication skills, along with data storytelling and data-driven decision-making. These soft skills are well-aligned with the demands of a Data Science role, where translating complex data into understandable insights is key. The mention of SDLC development and Agile approach in project descriptions indicates an understanding of structured development processes, which is a positive for operational fit.