Meet Paradia
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Meet Paradia Email & Phone Number

Senior Data Scientist - Generative AI at Blend360
Location: Washington Dc-Baltimore Area, United States 10 work roles 2 schools
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Current company
Role
Senior Data Scientist - Generative AI
Location
Washington Dc-Baltimore Area, United States
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Meet Paradia is listed as Senior Data Scientist - Generative AI at Blend360, a with 790 employees, based in Washington Dc-Baltimore Area, United States. AeroLeads shows a matched LinkedIn profile for Meet Paradia.

Meet Paradia previously worked as Senior Data Scientist at Blend360 and Data Scientist at Blend360. Meet Paradia holds Master Of Science - Ms, Business Analytics, A from The University Of Texas At Dallas.

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Blend360

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Profile bio

About Meet Paradia

As a Senior Data Scientist at Blend360, I lead a high-performing team of five Data Scientists, delivering impactful solutions for diverse clients across various domains. I have a Master of Science degree in Business Analytics from The University of Texas at Dallas, where I specialized in Data Science and learned cutting-edge techniques and tools.I have successfully applied my skills and knowledge in machine learning, statistical methods, data analytics, and linear optimization to optimize drug prices, automate monthly operations, enhance language generation, and create comprehensive customer profiles. I have experience in training large language models for classification and text generation. I have also published insightful blog posts on Medium and received the Team Excellence Award for my work. I am a self-motivated and indefatigable person who is always up for a new challenge and interested in meeting new people. I believe in success through perseverance and determination, and I strive to acquire wisdom through lifelong learning.Technical skills: Python (pandas, numpy, scikit-learn, tensorflow), R, SQL, Scala, Spark, Tableau, Jupyter notebooks, Databricks, Google Cloud Platform Git, ExcelSoft skills: Leadership, problem solving, storytelling, time management, communication, teamwork, business acumen, attention to details

Current workplace

Meet Paradia's current company

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Blend360
Blend360
Senior Data Scientist - Generative AI
Mumbai, MH, IN
Website
Employees
790
AeroLeads page
10 roles

Meet Paradia work experience

A career timeline built from the work history available for this profile.

Senior Data Scientist - Generative Ai

Mumbai, Mh, In

Senior Data Scientist

Current

Columbia, Maryland, United States

• Created synthetic data to train and fine-tune 3 PyTorch models, including a toxicity classification model using toxic-BERT, a multilabel classification model, and a Named Entity Recognition (NER) model, significantly enhancing the client’s data processing and classification capabilities despite the lack of initial data leveraging AWS Sagemaker.• Utilized LangChain to create advanced AI prompt chains (few-shot CoT, directional stimulus, ReAct Prompting) for extracting key components from text data, achieving a 36% improvement in issue detection accuracy.• Implemented text-based recursive summarization using large language models (LLMs), with personalized prompts for dimension-specific insights, attaining a remarkable 93% coverage score evaluated through QAG framework.• Engineered a multi-agent chatbot using task-specific tools (SQL, Pandas, Search) to extract actionable insights from unstructured free form notes in a Q&A format.• Led a high-performing team of 5 Data Scientists, coordinating research efforts and fostering a collaborative environment to achieve project objectives and time sensitive deliverables efficiently with a 90%+ success rate in monthly operations.• Partnered with stakeholders to execute a client onboarding plan, reducing end of year liabilities by $400MM+.• Leveraged LangChain SQLAgent to enhance prompt-based language generation and scheduling weekly queries.• Published 2 insightful blog posts on Medium, showcasing research findings and practical applications of NLP and LLMs.• Received the Team Excellence Award for my work on a high-performance team that generated a big impact on business.

Oct 2022 - Present

Data Scientist

Columbia, Maryland, United States

• Optimized drug prices for 1000+ clients for a Fortune 5 pharmacy-based company using Linear Optimization.• Automated monthly operations pipeline, cutting weekly manual human hours by ~10 hours.• Championed the development and delivery of highly impactful dashboards and comprehensive Excel reports, presenting clients with in-depth growth analysis and month-over-month trends, resulting in a staggering 20% increase in data-driven decision-making efficiency. • Conducted ad-hoc data analysis and consultation for leadership teams using SQL, Python, and Excel, enabling data-driven decision-making, and optimizing business strategies.

Feb 2022 - Oct 2022

Associate Data Scientist

Columbia, Maryland, United States

• Employed customer segmentation techniques to create comprehensive profiles of diverse customer segments, capturing demographic, financial, and lifestyle attributes. The insights derived enabled the client to devise highly targeted marketing strategies, resulting in a remarkable 30% increase in premium membership sign-ups.• Successfully implemented data preprocessing methods on an extensive customer dataset containing 150 million records on Snowflake. This streamlined dataset paved the way for faster and more accurate analyses, saving valuable processing time by 40%.• Leveraged the power of the K Means clustering algorithm in R to perform in-depth customer clustering. The actionable marketing solutions derived from these clusters led to a 15% increase in revenue from targeted campaigns.• Seamlessly ingested data from multiple sources and performed robust data preprocessing on Databricks, utilizing SQL, Scala, and Python. This agile data preparation process enhanced team efficiency by reducing preprocessing time by 50%, allowing for a stronger focus on advanced analytics and valuable insights.• Developed end-to-end data pipelines on Databricks, seamlessly integrated with real-time Tableau dashboards. Empowered stakeholders to explore company metrics daily, weekly, or monthly. • Spearheaded an unstructured business use case, enhancing the dashboard with 5 key performance indicators (KPIs) for deeper customer insights and data-driven strategies.• Orchestrated a Tableau dashboard for an unstructured business use case with 5 KPIs for deeper customer insights.

Jul 2021 - Feb 2022

Data Engineer

San Jose, California, United States

• Ingested data from disparate sources using BigQuery, creating a Looker dashboard for monitoring financial health.• Devised Fuzzy Logic algorithm to perform deduplication on data containing 92MM records with accuracy of 88%.

Feb 2021 - Jul 2021

Machine Learning Intern

Santa Clara County, California, United States

• Performed exploratory data analysis, data cleaning, imputed missing values, and normalized the data gained from the sensors. Implemented various statistical ML algorithms to detect threats and anomalies in real-time multivariate time series data. • Performed cleaning and transformation on data collected from sensors to create an Anomaly Detection system.Applied Lasso, Ridge, and Linear regression to perform time series analysis to proactively detect threats and anomalies.Predicted anomalies with an R2-score of 0.93 to enable the company to make data driven and informed decisions.Presented the insights and information gained to the engineering, sales, marketing, and management teams.

Jun 2020 - Aug 2020

Volunteer Fellow

Mumbai Area, India

Demonstrated leadership by managing 25+ dedicated volunteers to teach English and Mathematics to 50+ underprivileged children in the slums of Mumbai for a continuous period of 9 months.Created the syllabus that was followed by the volunteers to teach the kids. Managed a 100% pass rate for the secondary school exam for all the kids.

Jul 2018 - Jun 2019

General Secretary

Mumbai Area, India

Designed, planned and conducted 20+ seminars and workshops on upcoming technologies such as Machine Learning, Virtual Reality, Augmented Reality, Cryptography etc.Managed and led a team of 30 from different disciplines to organize events with a footfall of 200+ participants from numerous colleges of various disciplines from Mumbai area.

Jul 2017 - Jul 2018

Pr Executive

Mumbai, Maharashtra, India

Responsible for getting sponsors for key events and maintaining relations with the members

Jul 2016 - Jul 2017
Team & coworkers

Colleagues at Blend360

Other employees you can reach at blend360.com. View company contacts for 790 employees →

2 education records

Meet Paradia education

Master Of Science - Ms, Business Analytics, A

Activities and Societies: Infinity Lions ClubStatistics, Time Series Analysis, Prescriptive Analysis, Predictive Analysis, Programming.

Bachelor Of Technology - Btech, Electronics Engineering, A

Activities and Societies: Computer Society of India, General SecretaryNeural Networks, Object Oriented Programming, Circuit Design.

FAQ

Frequently asked questions about Meet Paradia

Quick answers generated from the profile data available on this page.

What company does Meet Paradia work for?

Meet Paradia works for Blend360.

What is Meet Paradia's role at Blend360?

Meet Paradia is listed as Senior Data Scientist - Generative AI at Blend360.

Where is Meet Paradia based?

Meet Paradia is based in Washington Dc-Baltimore Area, United States while working with Blend360.

What companies has Meet Paradia worked for?

Meet Paradia has worked for Blend360, Rysun Labs, Stellar Cyber, U&I Trust, and Csi - Kjsce Student'S Chapter.

Who are Meet Paradia's colleagues at Blend360?

Meet Paradia's colleagues at Blend360 include Dharmendra Kumar Prajapati, Leslie Henkin, Gina Defrancesco, José Martínez Fignoni, and Macarena Cousillas Mangarelli.

How can I contact Meet Paradia?

You can use AeroLeads to view verified contact signals for Meet Paradia at Blend360, including work email, phone, and LinkedIn data when available.

What schools did Meet Paradia attend?

Meet Paradia holds Master Of Science - Ms, Business Analytics, A from The University Of Texas At Dallas.

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