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Data Science with less than a year in data visualization & econometric modeling.
Results-driven analyst with hands-on experience in financial reporting, data visualization, and business process improvement. Proficient in Advanced Excel, Power BI, SQL, EViews, and Python with demonstrated ability to apply econometric modeling, regression analysis, and dashboard reporting to generate actionable insights. Effective cross-functional collaborator with a track record of translating complex data into clear, decision-ready outputs for business stakeholders.
Berchmans Institute of Management Studies (BIMS)
Master of Business Administration (MBA) · Finance & Operations
August 1, 2024 – June 30, 2026
Saintgits College of Engineering, KTU
B.Tech · Computer Science Engineering
August 1, 2020 – June 30, 2024
Placid Vidya Vihar
Higher Secondary Education (Class XII)
June 1, 2019 – May 31, 2019
Placid Vidya Vihar
Matriculation (Class X)
June 1, 2017 – May 31, 2017
Labmentix
Data Analyst / Business Analyst Intern
January 1, 2026 – June 1, 2026
India
Intertek India Private Limited
Finance Intern
May 1, 2025 – June 1, 2025
Bengaluru, Karnataka, India
Techmindz powered by Ndimensionz
Web Development Intern
August 1, 2023 – August 1, 2023
Cochin, Kerala, India
ICT Academy of Kerala · TCS, UST & IBS Software
Digital Skills Trainee
May 1, 2022 – June 1, 2022
India
Retail Credit & Sustainable Bank Growth - South Indian Bank
December 1, 2025 – January 1, 2026
Executed a multi-method econometric study (OLS regression, ADF unit root test, HHI analysis) on South Indian Bank's 10-year credit data, achieving a model fit of R2=0.805. Established retail credit as a statistically significant driver of profitability (beta=+0.0669, p=0.0001) and forecasted retail advances to reach Rs.26,000–29,000 crore by 2030.
Hate Speech Detection – BiLSTM Deep Learning Model | IEEE Published
May 1, 2024 – May 1, 2024
Architected and trained a Bidirectional LSTM model for multi-class harmful content detection on social media, achieving publication-grade accuracy in NLP classification. Contributed to dataset preprocessing, model evaluation, and result interpretation; findings were validated through peer review and accepted for publication in IEEE Xplore.
Cipherize - Cryptographic Learning Hub
April 1, 2024 – May 1, 2024
Engineered a full-stack web platform for hands-on cryptography education, implementing real-time encryption and decryption across multiple cipher algorithms. Designed end-to-end from UI/UX to back-end logic, resulting in a deployed, functional tool that bridges cybersecurity concepts with interactive learning.
Technology Strategy & Risk Analysis – Mercedes-Benz DRIVE PILOT (Case Study)
December 1, 2023 – December 1, 2023
Evaluated the business viability, regulatory constraints, and cybersecurity risk framework of a real-world SAE Level 3 autonomous system using structured analytical methodology.
Recruitment Cell Portal – Full-Stack Web Application
September 1, 2023 – September 1, 2023
Built a three-role placement portal (students, companies, admins) using React, Node.js, and SQL, replacing a fully manual recruitment process with a scalable digital system. Delivered features including job search, application tracking, candidate filtering, and admin workflow management - reducing coordination overhead for placement teams.
Microsoft Office Specialist: Excel Expert
Microsoft
August 1, 2025 – Present
NPTEL Elite Certification – Introduction to Machine Learning
IIT Kharagpur / SWAYAM
July 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects span diverse areas including cryptography, autonomous systems risk analysis, financial econometrics, and NLP, indicating a broad intellectual curiosity and adaptability. Their involvement in leadership roles for academic events further suggests a proactive and engaged approach. While the target role is Data Science, their MBA in Finance & Operations, coupled with a B.Tech in Computer Science Engineering, provides a unique interdisciplinary perspective that could be valuable in a data science team, especially for business-oriented problems. However, the lack of professional data science experience outside of internships and academic projects might require a ramp-up period to align with industry-specific cultural norms and pace.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills including communication, critical thinking, teamwork, and cross-functional collaboration, as highlighted in their professional summary and internship descriptions. Their experience in leading academic events also points to leadership and initiative. These attributes suggest a good operational fit for roles requiring collaborative problem-solving and clear communication of technical insights.