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Data Analyst with 1+ years in KNIME & Python
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 with hands-on experience in KNIME, Alteryx, SQL, SAP data extraction, Python, and Power BI. Skilled in building end-to-end data solutions from data extraction to dashboard visualization. Experienced in fraud detection, machine learning, digital forensics, and VAPT, with the ability to analyze large datasets and deliver actionable business insights. Proven track record in developing automated workflows, converting KNIME processes into Python pipelines, and creating interactive dashboards for decision-making.
The American College
BSc · Computer Science
August 1, 2021 – June 30, 2024
Kendriya Vidyalaya Sangathan
HSC
June 1, 2020 – May 31, 2021
Kendriya Vidyalaya Sangathan
SSLC
June 1, 2018 – May 31, 2019
AJA Labs
Data Analyst (Full-time)
May 1, 2025 – Present
Bengaluru, Karnataka, India
AJA Labs
Junior Data Associate Intern
November 1, 2024 – April 30, 2025
Bengaluru, Karnataka, India
SAP & Analytics in KNIME
June 21, 2026 – Present
Automated data extraction from SAP Pipelines using custom filters to pull tables for business insight. Used PostgreSQL as the staging area, configuring schema-specific nodes for secure data storage. Developed a comprehensive data processing script in KNIME/Alteryx to automate data cleaning, transformation, and analysis for company operational data. Integrated data from multiple sources and ensured data accuracy and consistency through efficient ETL processes in KNIME. Integrated multiple datasets and applied advanced data analytics techniques to uncover patterns in fraudulent claims. Developed visualization in Power BI and Tableau to transform raw SAP data for high-level visualization.
Fraud Detection
June 21, 2026 – Present
Conducted deep-dive document reviews for edited documents. Detected tampering and inconsistencies in timestamps, formatting, and content changes in documents. Generated detailed fraud reports based on the findings.
Python Analytics & App Development
June 21, 2026 – Present
Converted complete KNIME workflows into Python scripts for scalable and flexible execution. Re-implemented ETL, transformation, and analysis logic using Python libraries. Developed a custom Python Web Application app designed with Generated processed outputs and integrated them into dashboard-ready datasets. Built a hierarchical navigation system within the app where users can drill down from Categories to Sub-categories to specific Objective-based dashboards.
Digital Forensics Investigation
June 21, 2026 – Present
Performed Imaging of suspect laptops using FTK Tools to maintain data chain of custody. Utilized Autopsy to analyze file systems and used keyword-based searching to extract evidence for digital investigations. Compiled comprehensive forensic reports with attached evidence.
Vulnerability Assessment (VAPT)
June 21, 2026 – Present
Conducted Vulnerability Assessments network security scans using Nmap and Nessus to identify vulnerable IPs and services. Analyzed and documented critical security risks such as network issues and SSL certificate risks etc. Provided mitigation strategies in detailed technical reports.
Predictive Modelings & Machine Learning
June 21, 2026 – Present
Implemented advanced statistical & ML models in KNIME including H2O Random Forest, H2O Auto ML, Z-Score Anomaly Detection, and Modified Score analysis. Conducted Variance Analysis and Fuzzy Matching in KNIME to handle data inconsistencies and improve matching accuracy between disparate datasets. Integrated ML prediction outputs into Power BI visualization.
Cultural Fit Analysis
The candidate's project experience is diverse, covering data analytics, machine learning, cybersecurity, and digital forensics. This breadth of exposure suggests an adaptable individual who can contribute to various analytical challenges. The target role of 'Data Analyst' aligns well with the core skills demonstrated in data extraction, ETL, visualization, and basic machine learning. The experience with tools like KNIME, Alteryx, Power BI, Tableau, and Python indicates a practical, hands-on approach, which is generally a good fit for operational data analysis roles. The professional experience at AJA Labs, progressing from intern to full-time Data Analyst, shows commitment and growth within a single organization.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a methodical approach to problem-solving, particularly in data cleaning, transformation, and analysis. The ability to automate workflows and convert KNIME processes to Python suggests an inclination towards efficiency and scalability. The diverse project portfolio, including fraud detection and digital forensics, implies a detail-oriented mindset and a capacity for critical analysis. However, without direct assessment data on communication or teamwork, specific soft skills like collaboration or stress handling cannot be definitively evaluated.