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Data Scientist with less than a year in Data Analysis & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data driven professional with hands-on experience in Python, SQL, and Excel across data cleaning, analysis, and visualization. Proven ability to build dashboards and sentiment analysis tools that turn raw operational data into actionable business insights.
LBS College of Engineering
Bachelor of Technology · Electronics and Communication Engineering
August 1, 2021 – June 30, 2025
Ecaret Solutions
Data Automation & Data Analyst
November 1, 2025 – May 1, 2026
Kannur, Kerala, India
Sales Performance Dashboard
June 1, 2026 – Present
Designed an interactive BI dashboard tracking KPIs including sales, profit, top-5 performers, and regional performance across multiple data sources. Delivered automated visual insights with interactive slicers and drill-down capabilities; reduced decision-making time by 30%. Produced campaign-style performance summaries highlighting product performance, trends, and recommendations to drive sales growth.
Zomato User Sentiment Analysis
June 1, 2026 – Present
Collected and analyzed 40 app reviews and categorized feedback into 8 themes and scored each on a sentiment scale to identify key drivers of positive and negative user experience. Built an Excel dashboard visualizing sentiment distribution and category wise scores similar to campaign performance reporting and insight generation. Delivered written findings identifying Customer Support, Pricing, and Delivery Time as top pain points.
View ProjectZepto E-Commerce Data Analysis
June 1, 2026 – Present
Analyzed 3733 product records using SQL with SELECT, GROUP BY, and CASE WHEN to identify top-discounted products, out of stock high value items, and category wise discount trends. Calculated estimated revenue per category and segmented products by weight and price to replicate the kind of metrics analysis required for revenue and campaign reporting.
Brain Tumor Detection using Deep Learning
June 1, 2026 – Present
Architected and trained multiple deep learning models like VGG16, InceptionV3 and YOLOv8 on 3,903 MRI images to classify brain tumors into 4 categories. Achieved the highest accuracy of 91% in YOLOv8 through hyperparameter optimization and data augmentation strategies. Conducted comparative model evaluation using confusion matrices and precision-recall metrics to validate model performance. Deployed production ready Flask web application with intuitive UI for real-time tumor prediction.
Certified Data Scientist
DataMites
June 1, 2026 – Present
Certified Data Scientist
IABAC
June 1, 2026 – Present
Best Paper Award - Brain Tumor Detection using Deep Learning
ICET 2025, Royal College of Engineering & Technology, Thrissur
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and a short internship show a strong drive for learning and applying new technologies. The diversity of projects, from BI dashboards to deep learning for medical imaging and sentiment analysis, indicates a broad interest in data science applications. The target role is 'Data Scientist', which aligns well with the skills and projects presented. The 'Best Paper Award' suggests a commitment to excellence and recognition in their academic field. However, the limited professional experience makes it difficult to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through process automation and data analysis. The ability to streamline workflows using AI tools suggests an adaptive and efficient approach to tasks. Project descriptions indicate a focus on delivering actionable insights and reducing decision-making time, which aligns with operational effectiveness. However, the experience is primarily academic and a short internship, which limits the assessment of real-world operational fit and collaboration in a professional setting.