“Pragya was my student for two semesters at Northeastern University, where she took two project-based courses under my supervision: Data Mining Applications and an experiential Capstone course. In both courses, Pragya produced excellent work and placed in the top 3 of 30 students for her outstanding individual final project in the Capstone course. Pragya also excelled in the group project for the Capstone course, making substantial contributions to every part of the project and showing a lot of leadership and initiative. Through her projects, Pragya demonstrated a number of aptitudes that are extremely valuable for a data scientist or analyst: - Writing clean, readable, working code in both R and Python - Implementing and evaluating state of the art NLP and ML models - Explaining complex methods in clear terms - Taking a storyteller's approach to producing high quality notebooks - Paying attention to details while keeping the big picture in mind I think Pragya's greatest strength is the clarity of communication in her work. This is reflected in the well-structured, well-commented, and efficient code that she writes (in both R and Python). She also makes ample use of prose and Markdown in her analysis notebooks, making her work extremely easy to follow and understand. As a teacher, I was always confident that Pragya understood the methods she was using because she took the time to explain her approaches and decisions with an appropriate amount of detail. I value this ability very highly: When you receive a notebook from Pragya, you can be confident that it will be easy to follow the logic, understand the tools, and trust that the results make sense. On a personal level, I found Pragya to be extremely courteous and professional in all of our interactions. She proactively sought feedback from me during the course and was very receptive to suggestions. Her teammates from group projects had only positive things to say about her and felt that she uplifted the team with her contributions. In sum, I believe Pragya has all of the qualities to excel as a data scientist or analyst, including a solid technical foundation in programming, data mining, and modeling; strong communication skills; and an ability to work well on teams. I give her my strongest recommendation!”
About
Activity
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New job roles will be created: · AI QA business analyst: deep dive into a few anecdotes and build a dashboard to monitor overall performance. · AI…
New job roles will be created: · AI QA business analyst: deep dive into a few anecdotes and build a dashboard to monitor overall performance. · AI…
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Achieving the full value of GenAI applications requires a blend of human and automated testing and evaluation. 👨💻 Introducing ARTKIT: designed…
Achieving the full value of GenAI applications requires a blend of human and automated testing and evaluation. 👨💻 Introducing ARTKIT: designed…
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𝗔 𝗚𝗿𝗲𝗮𝘁 𝗕𝗼𝗼𝗸 𝗮𝗯𝗼𝘂𝘁 𝗧𝗶𝗺𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴! 📈💡 Time series are prevalent in science, business and finance…
𝗔 𝗚𝗿𝗲𝗮𝘁 𝗕𝗼𝗼𝗸 𝗮𝗯𝗼𝘂𝘁 𝗧𝗶𝗺𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴! 📈💡 Time series are prevalent in science, business and finance…
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Experience & Education
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Fidelity Investments
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Licenses & Certifications
Volunteer Experience
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Community Outreach Volunteer
Northeastern University Graduate Women in Science and Engineering (club)
- Present 4 years 11 months
Science and Technology
Projects
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Artificial Personality using WordNet (Python)
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Built a mock ‘Health Nut’ persona that trains itself on text from online articles and quantifies the semantic relatedness.
Can be used by healthcare clients to perform intelligent marketing of products & services, identify new venues and maximize ROI.
Developed the model in Python using WordNet Embedding and Wu & Palmer Similarity measure that resulted in scores beyond 80%. Performed Lift score analysis for visualizing the importance of the removal of each word’s effect on overall… Built a mock ‘Health Nut’ persona that trains itself on text from online articles and quantifies the semantic relatedness.
Can be used by healthcare clients to perform intelligent marketing of products & services, identify new venues and maximize ROI.
Developed the model in Python using WordNet Embedding and Wu & Palmer Similarity measure that resulted in scores beyond 80%. Performed Lift score analysis for visualizing the importance of the removal of each word’s effect on overall interest score. -
Recommender System for Movie Lens Data (Python)
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Built a recommender system in Python using Collaborative-Filtering for different customers based on their individual movie rating profile.
The cosine similarity distance metric was used to predict user-based movie recommendations with a 3.1 RMSE.
Languages
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English
Native or bilingual proficiency
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German
Elementary proficiency
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Hindi
Native or bilingual proficiency
Recommendations received
2 people have recommended Pragya
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I’m happy and proud to share that Fidelity Investments is a Glassdoor Best Places to work in 2024! My fellow associates make Fidelity a great place…
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ISLR with applications in Python online course! 🚀🚀🚀 Any fans of 𝐀𝐧 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 ❤️?…
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GREAT NEWS: The U.S. is finally launching a pilot program for domestic visa renewal, hugely benefitting Indian tech workers on H-1B. Context: Today,…
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