Data Science with 1+ years in AI/ML & Cybersecurity
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Assessing your cultural and operational fit
Aspiring with a strong foundations and interest in AI/ML, Business Analytics and Data Science eager to solve real-world problems using data-driven solutions. Enthusiastic about leadership, innovation, and continuous learning.
Rajiv Gandhi University of Knowledge Technologies, Basar
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
Rajiv Gandhi University of Knowledge Technologies, Basar
Pre-University Course · MPC
August 1, 2020 – June 30, 2022
ZPHS High School
SSC
June 1, 2019 – May 31, 2020
LearnLeap
AI/ML Intern
June 1, 2025 – August 1, 2025
India
CyberHelps NGO
Cybersecurity Intern (Project Manager)
May 1, 2025 – June 1, 2025
India
ClinRAG – AI-Powered Clinical Trial Recruitment Platform (Deployed)
January 1, 2026 – June 1, 2026
Developed end-to-end AI recruitment platform integrating EHR data with ClinicalTrials.gov API. Designed rule-based eligibility matching using condition similarity scoring and age filtering. Implemented reverse patient-trial matching and explainable AI reasoning module. Deployed modular architecture (scoring, ranking, reasoning) on Streamlit Cloud.
View ProjectHybrid AI Phishing Detection System (Deployed)
November 1, 2025 – June 1, 2026
Developed hybrid phishing detection system combining statistical ML and transformer-based semantic similarity. Designed weighted risk aggregation model integrating ML probability and contextual scoring. Implemented explainable AI layer with feature importance and rule-based risk explanation. Deployed real-time phishing risk analysis web application using Streamlit.
View ProjectNetwork Anomaly Detection using Machine Learning
October 1, 2025 – June 1, 2026
Built DDoS detection model using CICIDS 2017 network intrusion dataset. Trained Random Forest classifier for BENIGN vs DDoS classification. Evaluated using Accuracy, Confusion Matrix, and Classification Report.
View ProjectCall Center Performance Analytics Dashboard
September 1, 2025 – June 1, 2026
Built interactive dashboard analyzing AHT, FCR, call volume, and agent productivity. Performed data cleaning and transformation using Power Query. Identified operational inefficiencies and peak workload trends.
Machine Learning for Business Analytics
The Wharton School, Univ. of Pennsylvania
July 1, 2025 – Present
Organizational Leadership and Innovation
The Wharton School, Univ. of Pennsylvania
July 1, 2025 – Present
LearnLeap AIML Internship Certificate
LearnLeap
June 1, 2025 – Present
Cyber Security Awareness Internship
CyberHelps NGO
May 1, 2025 – Present
Cultural Fit Analysis
The candidate shows a strong inclination towards AI/ML and Data Science, aligning well with the target role. The diversity of projects, from healthcare (ClinRAG) to cybersecurity (Network Anomaly Detection, Phishing Detection) and business analytics, demonstrates a broad interest and adaptability. Participation in NGO internships and leadership roles suggests a proactive and community-oriented mindset. However, the experience level is entry-level, and cultural fit in a senior role would require further assessment of collaboration, mentorship, and strategic thinking in a corporate setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and deploy solutions. The certifications in 'Organizational Leadership and Innovation' and 'Machine Learning for Business Analytics' suggest an interest in applying technical skills to business contexts and developing leadership qualities. The 'Coordinator' role for an Induction Programme also points to organizational and leadership potential. However, the experience is primarily from internships and personal projects, indicating a need for more exposure to professional operational environments and team dynamics.