Headline

Former FM Analyst Intern @Futures First | Data Science | Data Analytics | ML and DL Enthusiast

About

I am a recent graduate from IIT (ISM) Dhanbad in Bachelor of Technology (B.Tech), with a major emphasis on data analysis, machine learning, and deep learning. My coursework focused on applying technology and data to tackle real-world issues and produce practical solutions. I believe continuous learning fuels meaningful innovation, and I apply this learning in my work. Having a strong foundation in Data Science and Python, I am trying to broaden my knowledge and am also interested in the energy sector, especially energy markets and their optimization. To level up my coding skills for data science, I regularly participate in LeetCode contests, which helps me strengthen my problem-solving abilities and expand my capacity to think effectively under pressure. I am eager to contribute to meaningful projects in these domains.

Location

Ajmer

AI stack

cursor

opencode

claudecode

Work experience

Machine Learning Engineer Intern at AIMonk Labs Private Ltd, May 2026 - Jun 2026 · 2 mos, Remote

Financial Market Analyst Intern at Futures First, May 2025 - Jul 2025 · 3 mos, Bengaluru, Karnataka, India

Data and Software Technology Intern at Naresh Vashisht Centre for Tinkering and Innovation IIT (ISM) Dhanbad, Apr 2025 - Jun 2025 · 3 mos, Dhanbad, Jharkhand, India

Vocational Operations Trainee at BCCL Moonidih Coal Washery, Apr 2025 - May 2025 · 2 mos, Dhanbad, Jharkhand, India, Circuit Analysis: Analyzed a 1.6 MTPA dense medium washing circuit producing steel-grade clean coal, documenting water recycling rates of ˜100 gal/ton to optimize resource allocation and reduce operational costs. Washability Testing: Conducted float-sink washability tests across multiple density fractions, establishing yield prediction models at varying cut densities that improved material utilization by 12%. Equipment Mapping: Mapped equipment parameters for hydrocyclones, vibrating screens, and centrifuges, creating operational documentation that enhanced cross-departmental communication on capacity constraints. Waste Evaluation: Evaluated reject disposal processes, providing a cost-benefit analysis of waste management options that informed inventory planning decisions for byproduct utilization.

Vocational Trainee – Process Optimization (Metallurgy) at Tata Steel, Dec 2024 - Jan 2025 · 2 mos, Jamshedpur, Jharkhand, India, Decarbonization Research: Contributed to research on sodium-based Direct Reduced Iron (DRI); analyzed reduction reaction at 350-750 ◦C as a coal-free alternative to blast furnaces, supporting emissions and energy calculations for process feasibility. Gangue Separation Processes: Proposed three hydrometallurgical routes - acid neutralization (∼25 ◦C), hydrolysis (∼25 ◦C), and selective precipitation (70-90 ◦C) for impurity removal from products. Sodium Regeneration Analysis: Assessed three regeneration pathways: Thermal decomposition under vacuum (540 ◦C, 10-4 Pa), Downs process (801 ◦C), and Castner process (318 ◦C) for closed-loop sodium recovery. Life Cycle Assessment: Supported LCA across DRI production, gangue separation, and sodium regeneration; quantified CO2, SOx, and NOx emissions to identify process hotspots for sustainability. Progress Reporting: Delivered weekly presentation sessions to the research mentor with full thermodynamic calculations, process flow diagrams, and methodological comparisons. Tech Stack Used: FactSage (thermodynamic modeling), EndNote (reference management), MS Word (technical reports), MS PowerPoint (process flows).

Education

Bachelor of Technology- B.Tech, ENGINEERING, Indian Institute of Technology (Indian School of Mines), Dhanbad

High School Diploma, English, Physics, Chemistry, Mathematics, Physical Education, All Saints Senior Secondary School, Ajmer