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Data Scientist with 1+ years in Machine Learning & 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
Highly motivated and results-oriented Data Scientist with a strong foundation in data operations, machine learning, and statistical analysis. Proven ability to collect, clean, and analyze complex datasets, develop predictive models, and derive actionable insights to enhance decision-making and optimize business processes. Skilled in Python, SQL, Power BI, and various machine learning frameworks, eager to contribute to data-driven organizational success.
University of Calicut
B.Sc · Computer Science
N/A – June 30, 2024
ProgientLabs
Data Operations Analyst
October 1, 2025 – Present
India
Doctosmart
Data Scientist Trainee
January 1, 2025 – April 1, 2025
Kozhikode, Kerala, India
AI Variant
Data Scientist Intern
December 1, 2023 – June 1, 2024
Bengaluru, Karnataka, India
Sales Performance & Receivables Dashboard
June 24, 2026 – Present
Developed an interactive Power BI dashboard to analyze sales, collections, and customer performance using transactional sales data. Used Power Query for data cleaning, transformation, and schema preparation across multiple Excel sheets (Sales Header & Sales Lines). Designed a data model with relationships between invoice, item, and date tables to enable accurate analysis. Created a custom Date dimension table and implemented DAX measures for KPIs such as Total Sales, Outstanding Balance, Collection Efficiency %, and Average Invoice Value. Built advanced analytics including YoY sales comparison, new vs repeat customers, and invoice aging buckets. Designed executive-level visualizations including sales trends, top customers, payment status analysis, and receivables aging dashboard. Enabled business users to track pending invoices, customer purchasing patterns, and collection performance.
View ProjectDrowsiness Detection (Bachelor Project)
June 24, 2026 – Present
Designed and implemented a real-time Drowsiness Detection System using machine learning and computer vision. Utilized facial landmark detection and eye aspect ratio algorithms to identify drowsiness based on blinking patterns and head position. Enhanced road safety by automating driver alertness monitoring and minimizing fatigue-related risks.
View ProjectCustomer Personality Analysis
June 24, 2026 – Present
Developed a data-driven customer segmentation model to identify and analyze key customer groups. Applied machine learning and statistical analysis to uncover behavioral patterns and preferences. Enhanced marketing and product strategies by aligning them with customer insights, improving targeting efficiency and engagement.
Data Science
Doctosmart Edtech
April 1, 2024 – Present
Data Science
ExcelR Raising Excellence
March 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including a sales dashboard, drowsiness detection, and customer personality analysis, shows a broad interest in applying data science across different domains. The internships and current role align with a Data Scientist trajectory, indicating a commitment to the field. However, the experience level is entry-level, which might require significant mentorship for a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical insights into business strategies and collaborate with managers, suggesting a foundational understanding of operational needs. However, without direct assessment data, the depth of soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be fully evaluated.