Sri Ram Chandra Reddy Baddigam

Business Analyst

Mumbai, Maharashtra, India4 yrs 10 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Specializes in high-frequency trading strategies.
  • Expert in AI and machine learning applications.
  • Strong background in data-driven financial analysis.
Stackforce AI infers this person is a Fintech professional with a strong focus on AI-driven trading solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Data ScienceMachine LearningApplication DevelopmentData Analysis

Other Skills

3D ModelingAnalytical SkillsAndroid DevelopmentC (Programming Language)C++Cascading Style Sheets (CSS)CommunicationComputer VisionData EngineeringData MiningDeep LearningEnglishFirebaseGenerative Adversarial Networks (GAN)HTML

About

Quantitative Analyst & Strategist specializing in high-frequency trading, leveraging data-driven insights to develop and optimize trading algorithms. Committed to mathematical modeling, statistical analysis, and risk management. Passionate about inner workings of financial markets.

Experience

4 yrs 10 mos
Total Experience
1 yr 7 mos
Average Tenure
2 yrs 11 mos
Current Experience

Dolat capital

Quantitative Analyst

Jul 2023Present · 2 yrs 11 mos

I'mbesideyou inc.

Data Science Intern

May 2022Jul 2022 · 2 mos

  • An AI-based solution to generate front profile images from side profile images. A GAN was created with
  • a two-pathway generator. The local pathway rotates the local facial features, and the global pathway
  • turns the facial structure. Loss function is designed extensively, it takes care of the pixel loss, symmetric
  • loss, adversial loss, and identity preserving loss.
Artificial Intelligence (AI)Generative Adversarial Networks (GAN)Loss Function DesignData Science

Department of physics, indian institute of technology (iit) hyderabad

2 roles

Research And Development Intern

May 2021Apr 2022 · 11 mos

  • Project under the supervision of a professor. Concept: Stereo vision
  • Depth estimation and 3d reconstruction of veins on the back of the arm using machine learning. Keras
  • API and Pixellib , PIL libraries are used
Machine LearningKerasPixellibData Science

Project

Sep 2020Oct 2020 · 1 mo

  • Estimated how efficient the lock down model was and suggested a model which proved to be more
  • efficient in-terms of duration and spread.
  • The SIR model is modeled in javascript.
JavaScriptSIR ModelData Analysis

Sunshine - iith

Application Developer

Jan 2020Jan 2021 · 1 yr

  • Worked with a team on launching an app for sunshine club using firebase
FirebaseApplication Development

Education

Indian Institute of Technology Hyderabad

Bachelor of Technology - BTech — Physics

Jun 2019May 2023

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