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Data Science with less than a year in Machine Learning & Business Intelligence
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Assessing your cultural and operational fit
Data Analytics specialist with expertise in machine learning, statistical modeling, and business intelligence. Published IEEE researcher proficient in building end-to-end data pipelines, creating interactive dashboards using Power BI and Tableau, and implementing predictive models for real-world applications. Skilled in transforming complex datasets into actionable insights through advanced analytics and visualization.
Alliance University
Bachelor of Technology · Computer Science and Engineering - Data Analytics Specialization
N/A – June 30, 2026
Even Healthcare
Clinic Acquisition Manager
June 1, 2026 – Present
India
Real-Time Social Media Sentiment Analysis
June 22, 2026 – Present
Built sentiment classifier analyzing 100,000+ tweets with 92% accuracy using BERT and VADER; automated data pipeline with Twitter API
Mediscrypt - Healthcare Data Security
June 22, 2026 – Present
Developed secure healthcare platform with encryption and role-based access control; designed relational database schema
Smart Cities Visualization
June 22, 2026 – Present
Built data pipeline for urban metrics; created interactive dashboards for planning teams; applied predictive modeling for forecasting
Oracle Analytics Cloud
oracle
January 1, 2025 – Present
Neural Networks & Deep Learning
Coursera
January 1, 2025 – Present
Managing ML Projects
Coursera
January 1, 2024 – Present
Data Analysis with Python
Coursera
January 1, 2024 – Present
Cultural Fit Analysis
The candidate shows a strong interest in Data Science through personal projects, certifications, and a specialization in their degree. The diversity of projects (sentiment analysis, healthcare security, smart cities) indicates a broad interest in applying data science across different domains. The IEEE publication and competitive programming involvement suggest a drive for continuous learning and contribution, which aligns well with a growth-oriented technical culture. However, the lack of professional data science experience means cultural fit in a corporate data science team is yet to be fully proven.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex problems and deliver actionable insights. Participation in a Techathon and competitive programming indicates a proactive and problem-solving attitude. However, the current professional experience as 'Clinic Acquisition Manager' does not directly align with a Data Science role, making it difficult to assess operational fit in a data-centric team.