Srishti Saha
NLP Engineer at The RepTrak Company- Claim this Profile
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English Native or bilingual proficiency
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Hindi Native or bilingual proficiency
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Bengali Native or bilingual proficiency
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Spanish Elementary proficiency
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Japanese Elementary proficiency
Topline Score
Bio
Biplab Mahadani
Srishti worked with me in my team for almost a year. She has been a resourceful asset to the team and would get the work done whenever she was tasked with one. She has a keen interest in statistical algorithms and technologies and uses them to the best of her ability to solve a given problem. Her strength lies in learning algorithms and technologies fast so that she can use them in any problem. Srishti was never shy to go over and beyond to explore unknown algorithms & technologies. Along with her technical acumen, her deep business understanding helped in having a perfect blend of techno-business perspective to solve any data science problem.
Ashish Jethani
I worked with Srishti for an Automotive client to provide data-driven solutions. It's always been a pleasure working alongside her owing to her problem-solving skills, passion to deliver end to end solution, in-depth understanding of the techniques. Her quick learning capabilities reflected her picking up multiple technologies for data sciences (R and Python) when required. Detailed understanding of the data science algorithms (Random Forest, XGBoost) along with technical know-how was quite helpful when she implemented the solutions in a reproducible and scalable manner. Overall she's a great addition to every data science team to help grow in multiple aspects
Biplab Mahadani
Srishti worked with me in my team for almost a year. She has been a resourceful asset to the team and would get the work done whenever she was tasked with one. She has a keen interest in statistical algorithms and technologies and uses them to the best of her ability to solve a given problem. Her strength lies in learning algorithms and technologies fast so that she can use them in any problem. Srishti was never shy to go over and beyond to explore unknown algorithms & technologies. Along with her technical acumen, her deep business understanding helped in having a perfect blend of techno-business perspective to solve any data science problem.
Ashish Jethani
I worked with Srishti for an Automotive client to provide data-driven solutions. It's always been a pleasure working alongside her owing to her problem-solving skills, passion to deliver end to end solution, in-depth understanding of the techniques. Her quick learning capabilities reflected her picking up multiple technologies for data sciences (R and Python) when required. Detailed understanding of the data science algorithms (Random Forest, XGBoost) along with technical know-how was quite helpful when she implemented the solutions in a reproducible and scalable manner. Overall she's a great addition to every data science team to help grow in multiple aspects
Biplab Mahadani
Srishti worked with me in my team for almost a year. She has been a resourceful asset to the team and would get the work done whenever she was tasked with one. She has a keen interest in statistical algorithms and technologies and uses them to the best of her ability to solve a given problem. Her strength lies in learning algorithms and technologies fast so that she can use them in any problem. Srishti was never shy to go over and beyond to explore unknown algorithms & technologies. Along with her technical acumen, her deep business understanding helped in having a perfect blend of techno-business perspective to solve any data science problem.
Ashish Jethani
I worked with Srishti for an Automotive client to provide data-driven solutions. It's always been a pleasure working alongside her owing to her problem-solving skills, passion to deliver end to end solution, in-depth understanding of the techniques. Her quick learning capabilities reflected her picking up multiple technologies for data sciences (R and Python) when required. Detailed understanding of the data science algorithms (Random Forest, XGBoost) along with technical know-how was quite helpful when she implemented the solutions in a reproducible and scalable manner. Overall she's a great addition to every data science team to help grow in multiple aspects
Biplab Mahadani
Srishti worked with me in my team for almost a year. She has been a resourceful asset to the team and would get the work done whenever she was tasked with one. She has a keen interest in statistical algorithms and technologies and uses them to the best of her ability to solve a given problem. Her strength lies in learning algorithms and technologies fast so that she can use them in any problem. Srishti was never shy to go over and beyond to explore unknown algorithms & technologies. Along with her technical acumen, her deep business understanding helped in having a perfect blend of techno-business perspective to solve any data science problem.
Ashish Jethani
I worked with Srishti for an Automotive client to provide data-driven solutions. It's always been a pleasure working alongside her owing to her problem-solving skills, passion to deliver end to end solution, in-depth understanding of the techniques. Her quick learning capabilities reflected her picking up multiple technologies for data sciences (R and Python) when required. Detailed understanding of the data science algorithms (Random Forest, XGBoost) along with technical know-how was quite helpful when she implemented the solutions in a reproducible and scalable manner. Overall she's a great addition to every data science team to help grow in multiple aspects
Credentials
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Mu Sigma Decision Scientist Certificate
Mu Sigma Inc.Jun, 2019- Nov, 2024 -
Blockchain Architecture Design and Use Cases
NPTELNov, 2018- Nov, 2024 -
AWS Certified Machine Learning – Specialty
Amazon Web Services (AWS)Apr, 2021- Nov, 2024
Experience
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The RepTrak Company
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United States
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Information Services
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100 - 200 Employee
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NLP Engineer
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Jun 2021 - Present
As an NLP Engineer in the R&D team at RepTrak, I am developing new pipelines for solving business reputation problems for our clients using survey data (quantitative data), mainstream and social media data. I am also responsible for collaborating with the product team, data engineering teams and client facing teams to understand the requirements of new features and modules in the product and designing the solution approach for the same. I am also developing an LLM-based QA retrieval system from internal data sources. I have deployed production-level models and data pipelines using the AWS cloud services, thus giving me experience with both scale and criticality of production level data pipelines. Show less
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Chief Data Officer (volunteering)
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Nov 2021 - Present
This is a voluntary role for a 501(c)3 organization that works in the video game industry. I have working experience in the video game industry as well where I develop and work with datasets like a corpus of ~1k research articles, to create a feature engineering and extraction pipeline to create retrieval systems for research in the industry. I am also developing on a gamer motivation model to extract both intrinsic and continual gamer player motivation traits based on game characteristics and player behavior during game play. I am also working on establishing a causal relationship between game characteristics and human behavior and problems (like health, social, behavioral and economic issues). I am designing, executing and deploying data pipelines for several important problems in this space. Show less
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Duke University
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United States
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Higher Education
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700 & Above Employee
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Research Assistant
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Dec 2020 - May 2021
Under the guidance of Dr. Cary Moskovitz
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Graduate Student Researcher (Capstone Project)
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Aug 2020 - May 2021
Capstone Project in the MIDS program
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Teaching Assistant: Modeling Process & Algorithms
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Jan 2020 - May 2021
Using Python
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Communications and Event Support for the Duke Human Rights Center @ Franklin Humanities Institute
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Sep 2019 - May 2021
I am responsible for creating and updating the website content, designing banners and publicity content for events and coordinating with the various stakeholders to ensure smooth execution of the efforts at the Duke Human Rights Centre @ FHI. My basic skillset here includes Wordpress, SEO, the Adobe Creative suite: Photoshop, XD and Illustrator (basic)
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Teaching Assistant: Sourcing Data For Analytics
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Aug 2020 - Nov 2020
Using Python
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Student Research Assistant
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Feb 2020 - Aug 2020
Assisting the Research Team at Duke Global Health Institute (DGHI) to prepare and process their publications data for further analysis and use. My role currently involves creating metrics from raw data to study past collaborations of researchers from DGHI.
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Duke University - The Fuqua School of Business
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United States
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Higher Education
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500 - 600 Employee
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Teaching Assistant
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Mar 2020 - Dec 2020
Courses: Decision 523: Fraud Analytics under Prof. Salman Azhar Courses: Decision 523: Fraud Analytics under Prof. Salman Azhar
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Wells Fargo
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United States
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Financial Services
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700 & Above Employee
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Quantitative Analytics Intern
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Jul 2020 - Aug 2020
Worked with the NLP Research team to find effect of linguistic drift on the performance of language models and other classification models Worked with the NLP Research team to find effect of linguistic drift on the performance of language models and other classification models
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Fleet Management Limited
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Hong Kong
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Transportation, Logistics, Supply Chain and Storage
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700 & Above Employee
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Data Science Summer Project Intern
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May 2020 - Jul 2020
Participant in the Data+ Program at Duke University for Summer 2020, jointly hosted by the Rhodes Information Initiative at Duke (iiD), the Duke Energy Initiative, and the Social Science Research Institute (SSRI). Participant in the Data+ Program at Duke University for Summer 2020, jointly hosted by the Rhodes Information Initiative at Duke (iiD), the Duke Energy Initiative, and the Social Science Research Institute (SSRI).
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Mu Sigma Inc.
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United States
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Business Consulting and Services
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700 & Above Employee
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Decision Scientist
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Jun 2019 - Jul 2019
Decision Scientist at Mu Sigma Labs (the innovation and development wing) at Mu Sigma
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Trainee Decision Scientist
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May 2017 - May 2019
1. Worked with a Fortune 50 automotive manufacturer to solve analytical problems in the pricing space. Created a decision board (RShiny) for pricing audits, generating anomaly reports and for strategic pricing of auto-parts2. Worked with a leading UK based retailer for marketing problems. Helped create models for recommending new products for the existing product portfolio3. Worked with several clients across verticals like manufacturing, insurance and retail to create prototypes on analytical problems like machine failure prediction, insurance claims segregation and campaign audits.4. Worked with the Innovation and Development Labs to contribute to the development of a model operationalization and deployment framework Show less
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Datahut
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United States
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IT Services and IT Consulting
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1 - 100 Employee
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Author and Content Developer
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Jul 2018 - Jul 2019
(Freelancer) I was an author for Datahut's online blog and other content. I have written several whitepapers, technical articles, tutorials and blog posts on web scraping, data analytics, applications of data science and data analytics in enterprise-grade problems. My skills here include Technical Writing, Web Scraping, Knowledge of Data Analytics, Python (Freelancer) I was an author for Datahut's online blog and other content. I have written several whitepapers, technical articles, tutorials and blog posts on web scraping, data analytics, applications of data science and data analytics in enterprise-grade problems. My skills here include Technical Writing, Web Scraping, Knowledge of Data Analytics, Python
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SAP
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Germany
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Software Development
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700 & Above Employee
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Information Developer
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Aug 2016 - Apr 2017
Conducted usability testing on SAP S/4HANA, SAP Analytics Cloud and IoT suite products, analyzed products and documented them for market deployment . Conducted usability testing on SAP S/4HANA, SAP Analytics Cloud and IoT suite products, analyzed products and documented them for market deployment .
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Mu Sigma Inc.
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United States
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Business Consulting and Services
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700 & Above Employee
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Trainee decision scientist
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Jul 2015 - Jul 2016
As a part of a 15 member team in Mu Sigma, I solved business, mathematical and technological problems for a leading Fortune 10 automobile maker: Demand Forecasting and Pricing Audit Analysis: using test control analysis and time-series forecasting Fraud Detection: Post research of the automotive dealership sector and the automotive parts supply chain, we used hypothesis testing and anomaly detection to identify dealer frauds in terms of sales and loyalty manipulations Dashboard creation: Using an RShiny platform, a dashboard was created by us to display the results of the Fraud Detection project. It was a user-interactive dashboard to display cases of fraud at various levels I&D project (Part rationalization): Find part redundancies in the automotive part manufacturer’s part universe, using machine drawings of automotive parts, on the basis of geometry and functionality. Consignment Operation Reporting: Using Excel and VBA, we automated a reporting tool that the client used to manage its consignment operations Emerging Safety Analytics: We used different data sources like Customer Complaints/Reviews, Sales Data, Design, and Manufacturing data, to predict vehicular recalls due to manufacturing faults and defects. We used topic modelling to extract patterns from customer complaint data and augmented the results using analysis from alternative data sources. Inventory Reduction due to Back-to-Stock problem: We helped reduce inventory wastage by reducing the Back to Stock (excessive) orders to Processing Centers of the auto-giant. We gained a complete understanding of the Inventory and Supply Chain dynamics of the firm to first create an exhaustive analytical dataset for the exercise, conduct hypothesis tests and design recommendations to reduce excessive orders. Show less
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UVSofts Technologies
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New Delhi Area, India
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Summer Intern
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Jun 2014 - Aug 2014
This internship included working with microcontrollers (ATmega8 and ATmega 16), designing circuit applications and real time simulation on software followed by real-time circuit testing on hardware components. This internship included working with microcontrollers (ATmega8 and ATmega 16), designing circuit applications and real time simulation on software followed by real-time circuit testing on hardware components.
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Education
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2019 - 2021
Duke University
Master of Science - MS, Interdisciplinary Data Science -
2011 - 2015
Manipal Institute of Technology
Bachelor’s Degree, Electrical, Electronics and Communications Engineering
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