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Pragalbh Kulshrestha
AI/ML leader | IIT BHU
About
Pragalbh Kulshrestha is a highly skilled and results-oriented problem solver with over 7 years of hands-on experience using data to solve real-world problems. He is currently working as a Strategy professional at PhonePe Ads, where he is responsible for revenue strategy and campaign success. Pragalbh has a strong business acumen and is skilled in delivering high-impact projects and leading teams. He has previously worked as a Senior Data Scientist at CommerceIQ and as an Assistant Manager (Data Science) at Citi. Pragalbh has a Bachelor of Technology (B.Tech.) degree in Chemical Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi. He has also completed his schooling from Kendriya Vidyalaya. Pragalbh has a diverse tech stack that includes Python, Data Scientist, Recommendation system, Deep Learning, NLP, ML, Research Scientist, SQL, Random Forest, AI, RNN, Word2Vec, Spark, and Mobile. He has relevant experience of 8.28 years in the field of data science and strategy. Overall, Pragalbh is a highly skilled and experienced professional who is passionate about using data to solve complex business problems. He is a strong team leader and has a proven track record of delivering high-impact projects.
Education Overview
Companies Overview
• onebyzero
• phonepe
• commerceiq
• citi
• knowledge foundry business solutions
• indian institute of technology bhu varanasi
• science and technology council iitbhu
• national chemical laboratory
Experience Overview
10.8 Years
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Advertising
algorithms
Algorithms
analytics
Android
Apache Spark
ARIMA
arimax
Artificial Intelligence (AI)
Artificial Neural Networks
Awk
aws ml ops
Bash
C
Data Analysis
data scientist
Data Strategies
data structures
deep learning
Design
Engineering
English
forecasting
Graph Theory
Healthcare
Hiring
iOS
Java
keras
linux
machine learning
Machine Learning (ML)
Management
marketing
Matlab
Microsoft Excel
Microsoft Office
Microsoft PowerPoint
Microsoft Word
ml
Mobile
Monetization
Natural Language Processing (NLP)
optimization
P&L Management
Payments
PowerPoint
Programming
PySpark
pyspark
python
Python
R
Recommendation systems
Recommender Systems
Recruiting
Recurrent Neural Networks (RNN)
Research
Research Scientist
Retail
RNN
Robotics
SaaS
Sales
scikit-learn
Sed
Shell Scripting
Simulations
spark
sql
SQL
Statistics
statistics
Strategy
strategy
teaching
team lead
Tensorflow
Time Series Analysis
Contact Details
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