Ravali Kanaka Saran Talabathula — Associate Consultant
As a Software Development Engineer and Analyst at River Quant Research, I leverage my expertise in data science and software development to create innovative solutions for trade and risk management. I have developed an automated Alpha Production System (SNAP), which has significantly reduced manual intervention and optimized efficiency. I have also built scripts for rigorous alpha testing, including correlation analysis, z-score evaluation, and weight assessments. In addition to my work at River Quant Research, I have gained valuable experience as a Data Scientist at Loyalytics AI and a Data Science Intern at nference. At Loyalytics AI, I developed real-time sales forecasting dashboards using Plotly Dash & Azure Databricks, and worked on building data pipelines for sales forecasting on Azure Databricks. I am passionate about applying data science and software development to solve complex problems and create value for businesses.
Stackforce AI infers this person is a Fintech and SaaS professional with strong expertise in data science and software development.
Location: Greater Delhi, Delhi, India
Experience: 4 yrs 6 mos
Skills
- Quantitative Research
- Algorithmic Trading
- Data Analysis
- Time Series Forecasting
- Back-end Web Development
- Nlp
- Bioprocess Engineering
- Bioprocessing
Career Highlights
- Developed an automated Alpha Production System reducing manual intervention.
- Created real-time sales forecasting dashboards for improved decision-making.
- Designed multiple applications for trade and risk management.
Work Experience
EY
Senior Consultant - Tech Consulting (1 yr 1 mo)
River Quant Research
Software Developement Engineer and Analyst (2 yrs 8 mos)
Loyalytics AI
Data Scientist (5 mos)
Framebit® Studios
Software Engineer (5 mos)
Software Engineer (11 mos)
nference
Data Science Intern (5 mos)
Crest Biotech Private Limited
Bioprocess Engineer Intern (3 mos)
Education
at Indian Institute of Technology, Delhi