Parth Rana
AVP Quantitative Risk at State Street | Ex-Goldman Sachs | Vedanta | Startups
- Role
- Quantitative Risk AVP at State Street
- Location
- Boston, MA, US
- LinkedIn followers
- 500 followers
About Parth Rana
The world is now awash in data and we can see consumers in a lot clearer ways.” Max Levchin, PayPal co-founder.Graduate Student pursuing a Master of Science in Industrial Engineering at Northeastern University. Data and business enthusiast with a keen interest in business intelligence, data mining, operation research, business model development, and management.SKILLS/CERTIFICATIONSCertification : Tableau for Data Scientist, MATLAB, Google Analytics, NLP with Python for Machine LearningWarehouse : Data Integration, Data Modeling, Profiling, SCD, Data Mart, Cube Processing, Dashboard, Story TellingData Science : Data Mining, Wrangling, Exploratory Analysis, Cleaning, Visualization, Predictive Analytics, ETL, A/B TestingML : Linear Regression, Logistic Regression, Time Series, Forecasting, Naïve Bayes, Random Forest, HypothesisLanguages : Python (sklearn, pandas, numpy, requests, matplotlib), R (tidyverse, dplyr, ggplot, RShiny), SQL (function, joint, triggers)Software : Tableau, Excel, SAP, Oracle ERP, Jupyter, RStudios, GitHub, SQL Server, Power BI, MINITAB, SAS, Talend, ER/StudioCloud Services : AWS (S3, Redshift), Google Cloud Platform (GCP)I am an abstract learner and I strongly believe that hard work always pays off; at least in my case it does. I am looking for opportunities where I can leverage my skills to help businesses take fact-based decisions, make strategies, and identify new market opportunities for their products and services. If you are interested in having a conversation about almost anything, feel free to text me anytime. Thank you.
Experience
Quantitative Risk AVP
Mar 2024 — Present · Boston, MA, US
Education
Shree Narayan Vidhyalaya
Higher Secondary Education, 12th science (PCM)
2011 — 2013
National Institute of Technology Surat
B.Tech., Mechanical Engineering (Concentration: Operation Research)
2013 — 2017
Northeastern University
Master of Science - MS, Industrial Engineering (Concentration: Data Science)
2018 — 2020
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