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Data Science with less than a year in Big Data & Machine Learning
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Assessing your cultural and operational fit
Data Enthusiast seeking opportunities to leverage data, machine learning, and big data technologies to drive strategic business decisions through impactful insights and data-driven solutions.
CDAC New Delhi
Post Graduation Diploma · Big Data Analytics
August 1, 2025 – June 30, 2026
Sreenidhi Institute of Science and Technology
Bachelor of Electronics and Communication Engineering · Electronics and Communication Engineering
August 1, 2020 – June 30, 2024
Narayana Junior college
Secondary Education
June 1, 2018 – May 31, 2020
Scalable Sentiment Analysis Using Apache Hive on Distributed Data
June 24, 2026 – Present
Built a scalable sentiment analysis system using Apache Hive on distributed datasets.Optimized data storage and querying using Hive views and ORC format.
Real-Time Word Count Analysis Using Apache Spark Streaming
June 24, 2026 – Present
Developed a real-time data processing pipeline using Apache Spark Streaming to analyze live data streams and compute word frequency in distributed processing.
Design And Development Of Aerial Surveillance Drone
June 24, 2026 – Present
The project will serve as a bridge to connect actual happening in areas that cannot be navigated easily by security personnel of corporate institution as the drone will be used to hover and staions record the actual happening as it transmit to a ground station which records and analyses.
Self-Supervised Intelligence For Industrial Failure Prognostics
June 24, 2026 – Present
Developed a self-supervised learning framework for industrial failure prognostics using unlabelled sensor time-series data. Automated feature learning and remaining useful life prediction to enable early fault detection and predictive maintenance.
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse applications of data science, from industrial prognostics to real-time analytics and sentiment analysis. This breadth suggests adaptability and a willingness to explore different problem domains, which can contribute positively to cultural fit in a dynamic environment. The target role of Data Science aligns well with the candidate's educational background and project focus.
Soft Skills & Operational Fit
The candidate lists 'Problem Solving, Teamwork, Communication' as soft skills. However, without specific examples or interview data, it's difficult to assess the depth of these skills or their operational fit. The project descriptions are clear but lack detail on team collaboration or problem-solving approaches.