Headline

Investments @ Aakash Emprise | MBA, IIM Lucknow | B. Tech, IITR

About

At Aakash Emprise Pvt Ltd, I focus on public equity, private equity, debt and VC, conducting in-depth industry analyses to identify key revenue and cost drivers. By employing equity analysis and financial modeling, I have contributed to informed investment strategies that drive capital gains and create value for clients. With an MBA specializing in Finance, IT & Systems from IIM Lucknow, and an engineering degree from IIT Roorkee, I combine technical proficiency with a data-driven approach. Proficient in tools like Bloomberg Terminal and DCF Valuation, I am committed to leveraging my skills to support impactful decision-making and sustainable growth in the financial sector.

Location

New Delhi

AI stack

claude

ChatGPT

Work experience

Investment Professional at Aakash Emprise Pvt Ltd, Jul 2024 - Present · 2 yrs 3 mos, Delhi, India, • Conducted comprehensive analyses of industry structures to identify key revenue and cost drivers across multiple sectors. • Developed and presented investment theses to clients, facilitating informed decision-making on complex financial concepts. • Achieved over 90% capital gains for clients within three months by conducting in-depth financial analysis of 50+ companies.

Senior Manager 2 at CARS24, Aug 2023 - Jun 2024 · 11 mos, Gurugram, Haryana, India

Consulting Fellow at Career Edge, Jun 2023 - Sep 2023 · 4 mos, Remote, • Engaged in live mentorship sessions with industry leaders from McKinsey & Company, Bain & Company, and others. • Collaborated with peers to develop consulting skills and strategic problem-solving techniques. • Participated in case studies and workshops to enhance analytical thinking and client engagement abilities.

Product Management at Cogoport, Apr 2023 - Aug 2023 · 5 mos, Gurugram, Haryana, India

Investment Associate Intern at Edelweiss Tokio Life Insurance, Apr 2022 - Jun 2022 · 3 mos, Mumbai, Maharashtra, India, • Developed an alpha investment strategy utilizing various Piotroski F-Scores, successfully deploying it in a live environment. • Conducted a comprehensive backtest over 20 years across five universes, achieving a Sharpe Ratio of approximately 2 and an alpha of around 10% in two universes. • Researched and identified five portfolio optimization techniques, analyzing ten research papers to inform my approach. • Proposed four reinforcement learning optimizers to generate optimized weights while adhering to IRDAI constraints.

Education

Master of Business Administration - MBA, Finance, IT & Systems and General, Indian Institute of Management, Lucknow

Bachelor's degree, Engineering, Indian Institute of Technology, Roorkee