Data Scientist | ML Engineer | Data Analyst | Turning Raw Data into Business Decisions | Python · SQL · Power BI

Remote

Bachelor of Technology - BTech, Computer Science Engineering (Artificial Intelligence and Data Science)
NBKR Institute of Science and Technology
Intermediate, MPC
NBKR Science and Arts College, Vidyanagar
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Download Tal BossData Scientist | ML Engineer | Data Analyst | Turning Raw Data into Business Decisions | Python · SQL · Power BI
Most people collect data. I turn it into decisions. I'm Trijesh, a final-year AI & Data Science student who got tired of just learning theory and started building things that actually work. From predicting loan defaults on 50,000+ records to estimating health insurance premiums with R² above 0.85, my projects don't stop at a Jupyter notebook, they end with deployed apps that real users test and interact with. At Infosys Springboard, I worked with messy real-world data, cleaned it up, and built Power BI dashboards that helped non-technical teams make faster reporting decisions. That experience taught me something important, the best analysis is the one a stakeholder can actually understand and act on. What I work with: Python (Pandas, NumPy), SQL, Scikit-learn, XGBoost, Power BI, and Streamlit. I've also dipped into Deep Learning and NLP, and I'm actively building in those directions. Outside of work, I placed 2nd at the TechTatva 2K25 IEEE Hackathon for an ML-based plant disease detection system, built under pressure, with a team, in limited time. That's the kind of problem-solving I enjoy. I'm currently looking for entry-level roles or internships in Data Science, Data Analytics, or ML Engineering, somewhere I can own real problems, not just shadow senior people. If my profile fits something you're hiring for, reach out at 𝐭𝐫𝐢𝐣𝐞𝐬𝐡𝐤𝐨𝐧𝐝𝐚𝐩𝐮𝐫𝐚𝐦1@𝐠𝐦𝐚𝐢𝐥.𝐜𝐨𝐦 or connect with me here on LinkedIn. I respond fast.
Greater Hyderabad Area
Data Visualization Intern at Infosys Springboard, Sep 2025 - Nov 2025 · 3 mos, Remote, Cleaned and engineered features on a 10,000+ row screentime dataset using Python (Pandas, NumPy), improving data quality and reducing preprocessing time by ~20% . Built 15+ univariate and bivariate visualizations using Matplotlib and Seaborn, uncovering behavioral patterns across 5+ demographic segments. Developed 3 Power BI dashboards with KPI tracking, enabling non-technical stakeholders to make reporting decisions 30% faster.
Bachelor of Technology - BTech, Computer Science Engineering (Artificial Intelligence and Data Science), NBKR Institute of Science and Technology
Intermediate, MPC, NBKR Science and Arts College, Vidyanagar