Rasamanjari Nandan

Product Manager

Mumbai, Maharashtra, India4 yrs 11 mos experience
Most Likely To Switch

Key Highlights

  • Expert in quantitative modeling and data science.
  • Proven track record in financial risk and regulation.
  • Skilled in building machine learning solutions.
Stackforce AI infers this person is a Fintech and Data Science expert with strong quantitative modeling skills.

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Skills

Core Skills

Quantitative FinanceData ScienceMachine Learning

Other Skills

Bayesian ModelsCClassificationCluster AnalysisData AnalysisDeep LearningElectronic TradingKDB+LinuxMarkov Chain Monte CarloMechine LearningMicrosoft PowerPointMicrosoft WordMinitabPlotly

About

I am currently working as a quantitative modeling associate at JPMorgan Chase & Co. I am primarily involved in the model review and governance related works within Electronic Trading and Investor Services space. Prior to JPMC, I worked as an associate in PwC India in FRR (Financial Risk and Regulation) domain. I delivered multiple key projects for a leading investment banking client. Here, for a GARCH based model, I worked on rectification & simplification of a complex R code, helped in productionizing the code in Linux environment and reviewed the model from scratch. I also built a dashboard using Plotly for Ongoing Model Monitoring purpose. Before joining PwC India, I worked as a business analyst in BRIDGEi2i Analytics Solutions Pvt. Ltd. There I had hands-on experience in Data Science through building ML based solutions in consumer domain. I was a part of scalathon team where I conducted various scalathons ranging from Supervised, Unsupervised, Time Series and NLP learnings. Apart from the work experience, I have earned Master's degree in Statistics from IIT Kanpur. I also completed my Bachelor's degree in Statistics from Presidency University, Kolkata. In these 5 years, I have acquired knowledge regarding various statistical concepts such as Regression Analysis, Statistical & AI techniques in Data Mining, Statistical Simulation and Data Analysis, Time Series Analysis, Probability Theory, Linear Algebra & Linear Models, Statistical Inference etc. My skill sets include: Programming Languages: Python, R, C, Q Software: SQL, Minitab Tools: MS-Word, MS-Excel, MS-PowerPoint, LaTeX

Experience

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

Jpmorganchase

2 roles

Quantitative Associate

Jan 2025Present · 1 yr 5 mos · Mumbai, Maharashtra, India

Quantitative Analyst

Jan 2023Dec 2024 · 1 yr 11 mos · Mumbai, Maharashtra, India

  • • Model Risk Governance and Review of E-Trading and Investor Services models.

Pwc india

Associate

Nov 2021Dec 2022 · 1 yr 1 mo · Mumbai, Maharashtra, India

  • Worked for a leading investment banking client.
  • Provided rectified coding script (GARCH methodology based R code) to resolve output mismatch by doing extensive background work on data wrangling.
  • Played a crucial role in productionizing the R code in Linux environment.
  • Reviewed the GARCH based model comprising of different asset classes and automated the reports to be produced on a quarterly basis.
  • Created an user-friendly dashboard which contains different models, metrics and various other fields using Plotly for Ongoing Model Monitoring.
  • All the tasks reduced the processing time significantly and made the process seamless.
RLinuxPlotlyQuantitative FinanceData Science

Bridgei2i analytics solutions

Business Analyst

May 2021Nov 2021 · 6 mos · Bengaluru, Karnataka, India

  • Provided classification and regression based solution through machine learning model building for solving problems like Cartridge Replacement, Low on Ink/Toner using Python and SQL for Hewlett-Packard customer for USA market.
  • This approach helped to reduce the error from around 40 days to around 10 days.
  • Played a crucial role in Data Science Scalathon Organizing team by conducting Supervised, Unsupervised, Time Series, NLP Scalathons.
PythonSQLData ScienceMachine Learning

Supertech ft

Data Science Intern

Jan 2021Jun 2021 · 5 mos · San Francisco, California, United States · Remote

  • Provided Python code script which tests the performance of a No-code AI / Low-code AI platform called 'Lobe'.
  • Was a member of 'Remote Robotics Teaching Summer Program 2021' and gave a demo of my work to a class of 55+ students in the course work.
Python

Education

Indian Institute of Technology, Kanpur

MSc — Statistics

Jan 2019Jan 2021

Presidency University, Kolkata

BSc — Statistics

Jan 2016Jan 2019

Taki House Govt. Sponsored Girls' High School

Higher Secondary — Science

Jan 2014Jan 2016

Taki House Govt. Sponsored Girls' High School

Secondary

Jan 2004Jan 2014

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