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Data Science with 1+ years in Data Analysis & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst and Data Science Professional with experience in SQL, Python, Power BI, Tableau, Databricks, Machine Learning, ETL, Data Visualization, and Statistical Analysis. Delivered analytical solutions across spend analysis, anomaly detection, NLP, and project reporting environments. Experienced in transforming raw datasets into actionable business insights through dashboard development, predictive modeling, and automated reporting. Strong foundation in data cleaning, KPI tracking, stakeholder reporting, and large-scale data processing.
Ajeenkya DY Patil School of Engineering
B.E. · Artificial Intelligence and Data Science
August 1, 2020 – June 30, 2024
AISSMS – All India Shri Shivaji Memorial Society
HSC
June 1, 2018 – May 31, 2020
AISSMS – All India Shri Shivaji Memorial Society
SSC
N/A – May 31, 2018
Zeno Talent
Data Science Intern
January 1, 2026 – April 1, 2026
India
KME
Data Associate
June 1, 2024 – July 1, 2025
India
IGurus
Machine Learning Intern
January 1, 2023 – May 1, 2023
India
False Positive Error Reduction in Anomaly Detection
June 24, 2026 – Present
Designed an ensemble anomaly detection framework integrating Isolation Forest and AutoEncoder architectures. Reduced false-positive detection rates through model stacking and feature optimization techniques. Evaluated model performance using precision, recall, F1-score, and anomaly detection accuracy metrics. Published findings in JETIR research journal. Developed an ensemble-based approach combining Isolation Forest and AutoEncoders to reduce false positives. Utilized an ensemble of anomaly detection models trained with diverse algorithms to enhance resilience against noise and outliers in data.
Data Extraction & Text Analysis Project
June 24, 2026 – Present
Built automated web scraping pipelines using BeautifulSoup and Selenium. Extracted and processed unstructured textual data from multiple online sources. Performed sentiment analysis, readability assessment, and linguistic complexity evaluation. Generated analytical insights supporting content intelligence and decision-making.
Security of E-Government and Electoral Voting
June 24, 2026 – Present
Designed a secure e-voting architecture integrating digital authentication and anonymous ballot submission. Evaluated cybersecurity risks associated with digital election systems and e-governance platforms. Proposed privacy-preserving mechanisms inspired by anonymous communication frameworks. Developed system architecture addressing voter confidentiality, integrity, and authentication challenges. Developed an anonymous e-ballot system inspired by TOR, tackling technical and non-technical security challenges.
Data Analytic Essential
Unknown
June 1, 2026 – Present
AI & Machine Learning, Data Science Bootcamp
Unknown
June 1, 2026 – Present
Python Fundamentals for Beginners
Unknown
June 1, 2026 – Present
Data Visualization with PowerBi
Unknown
June 1, 2026 – Present
Front end Development - HTML & CSS
Unknown
June 1, 2026 – Present
Data Analysis with Excel
Unknown
June 1, 2026 – Present
Data Visualization : Empowering Business with Effective Insights
Unknown
June 1, 2026 – Present
GenAI Powered Data Analytic
Unknown
June 1, 2026 – Present
Databricks for Data Engineering
Unknown
June 1, 2026 – Present
Introduction to Prompt Engineering
Unknown
June 1, 2026 – Present
The candidate scored 88% on the 'Data Scientist — Artificial Intelligence' test, indicating a strong grasp of core data science and AI concepts, particularly in anomaly detection and model evaluation.
Strengths
Limitations
Cultural Fit Analysis
The candidate's academic background in AI and Data Science, coupled with diverse projects in anomaly detection, e-governance security, and text analysis, shows a broad interest and adaptability. The internship experiences align well with the target role, indicating a proactive approach to gaining relevant skills. The range of certifications also demonstrates a commitment to continuous learning and skill development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems, publish research, and coordinate with stakeholders. The psychometric test score (253/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which are crucial for a lead role. However, without specific breakdowns, it's hard to pinpoint exact areas.