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MS in Computer Sc/Eng, Machine Learning and Quant Practitioner
Som S.

5.0 (77 ratings)

149 hours tutoring

Your first lesson is backed by our Good Fit Guarantee
Hourly Rate: $100
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About Som

Bio

As an experienced Quantitative professional specializing on Time Series Forecasting, Portfolio Optimization, Kalman Filter and Stochastic Modeling, much of my time is spent on applying Machine Learning to predict stock movement or artificially generating missing financial data. For the last 20 years, I have worked in various software companies and Financial Front Office and Risk teams. Being a Computer Engineering major and working in various complex software projects through pioneering...

As an experienced Quantitative professional specializing on Time Series Forecasting, Portfolio Optimization, Kalman Filter and Stochastic Modeling, much of my time is spent on applying Machine Learning to predict stock movement or artificially generating missing financial data. For the last 20 years, I have worked in various software companies and Financial Front Office and Risk teams. Being a Computer Engineering major and working in various complex software projects through pioneering companies e.g. TIBCO,BEA/Weblogic, earned me a dearth of knowledge on algorithms and high performance computing. My work included low level TCP/IP design, Application Server development, high performance Quantitative Library design/implementation and many more. I have 5 patents related to networking and software development. For the last 20 years, I have worked on various languages e.g., Python, Java, C++, and computation environments including grids, external clouds etc. My extensive experience enables me to work closely with the students and understand where they need help. Building a strong foundation for algorithmic thinking and high performance code design is a key value add that I take pride in.

I do cherish to share my intellectual achievement e.g. principal inventor of five patents.
I have been a strong mentor for interns and entry level colleagues and have extensively taught online classes. I have tutored students from top colleges e.g. NYU,UPENN,USC,RICE and NORTH EASTERN, and helped them succeed in semester exams and interviews.
My approach to teaching reflects my real life experiences with application of algorithm, model tuning and high performance computing. The course I teach is a right blend of statistics, linear algebra and programming e.g. Python, geared towards building strong foundation for both the enthusiasts planning to pursue machine learning career and the students preparing for academics.

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Education

New Jersey Institute of Technology (NJIT)
Masters

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Approved Subjects

Computer Engineering

Computer Engineering

I have a strong foundation on Computer Architecture and Networking specifically TCP/IP networking. I am inventor of a patent in Wireless Networking. The patent is Sub-segment based transport layer protocol for wireless medium It is cited by Apple , Citrix and few other companies I have extensively used this knowledge while architecting high performance computing solution e.g. Java Application Server, extending Linux kernel, Grid computing enabled libraries and Performance tuning etc
Computer Science

Computer Science

Being a Computer Engineering major working in various complex software development projects through pioneering companies e.g. TIBCO,BEA/Weblogic, earned me a dearth of knowledge on algorithms and high performance computing. My work included low level TCP/IP Stack design, Application Server component development, high performance Quantitative Library design/implementation and many more. I have 5 patents related to networking and software development. Last 20 years, I have worked on various languages e.g., Python, Java, C++, and computation environments including grids, external clouds etc. My extensive experience enables me to work closely with the students and understand where they need help. Building a strong foundation for algorithmic thinking and high performance code design is a key value add that I take pride at
Data Science

Data Science

Have 6+ years of experience using machine learning for investment analytics, including return forecasting, regime detection, and portfolio optimization. Built LSTM neural networks for portfolio return prediction, outperforming linear benchmarks in directional accuracy. Applied K-means clustering for market regime classification and hierarchical clustering for risk-parity allocation. Used SVR and XGBoost across multiple use cases such as alpha modeling and stress scenario analysis, while mentoring junior analysts and interns on ML pipeline design, validation, and deployment.
Econometrics

Econometrics

As an experienced Quantitative Development professional specializing on Time Series Forecasting, Factor Modeling/Portfolio Optimization and Stochastic Modeling, much of my time is spent on applying Machine Learning to predict stock movement or artificially generating missing financial data. My strong foundation on Stochastic Modeling, Linear Algebra and Probability and tenure with various Investment and Risk Analytics divisions for last 8 years, helped me to learn econometrics through challenging real life projects e.g. Risk projection for Equity Portfolio using Factor based modeling techniques, Missing data prediction using various Machine Learning algorithms, Movement prediction for individual stocks using Neural Network/LSTM ,Kalman Filter and many more. I have also completed a certification on Risk Analytics offered by ARPM. My expertise in Linear Regression, Optimizations and Neural network Algorithms for Time Series is a key factor that makes the Machine Learning course unique. A software expert with no econometric knowledge cannot implement Machine Learning projects effectively and this course feeds in required econometric knowledge to bridge the gap The areas of interest and specialties includes, time series analysis, ARIMA modeling, exponential smoothing, linear regression (cross sectional, time series, or panel data), logistic regressions, kalman Filter and Neural Network models e.g. LSTM for time series forecasting.

Examples of Expertise

Som has provided examples of their subject expertise by answering 1 question submitted by students on Wyzant’s Ask an Expert.

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Ratings and Reviews

Rating

5.0 (77 ratings)
5 star
(76)
4 star
(1)
3 star
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2 star
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1 star
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Reviews

Great Teacher

He was very methodical and was well prepared to teach me. He was organized and explained the concepts really well. I enjoyed the class. Looking forward to the next one

Rashi, 7 lessons with Som

Very Knowledgeable and very helpful

We went over basic statistics such as mean, variance, linear regression, and degrees of freedom. I learned basic concepts without spending hours reading a book. Hope to book more sessions in the future.

Wai, 4 lessons with Som

Extremely knowledgeable and helpful

Som has a wealth of knowledge in machine learning and forecasting applications. He has been instrumental in walking me through forecasting best practices and applications in coding. Som is extremely patient and answers all my questions in a methodical and detailed manner. I feel much more confident knowing that I can rely on Som for refresher lessons and additional questions as the data changes. Thank you so much!

Kathrine, 22 lessons with Som

Absolute the best!

Very smart brilliant man! Helped me when over 2 dozen other tutors could not help me with a python socket project. He knows his stuff very well and explains it well for you to understand what is happening. Amazing!

CYRUS, 1 lesson with Som

A very well prepared Lecturer

Really it was a very interesting lesson with Som very well prepared and looking forward to working with him again he was explained the things very clear. So I will recommend him to any one how interested in Machine learning

Mohammad, 2 lessons with Som

very patient and knowledgeable

Som is so helpful, especially since I’m learning entirely new concepts! I really appreciate his quick responses and his patience during our sessions. Very kind and knowledgeable!

Mary, 12 lessons with Som

very patient and knowledgeable

Som is so helpful, especially since I’m learning entirely new concepts! I really appreciate his quick responses and his patience during our sessions. Very kind and knowledgeable!

Mary, 12 lessons with Som

Knowledgeable and patient tutor

He truly took the time to explain the most basic concepts in order for me to understand more advanced ones. Also, he encouraged me to share my thoughts and ask questions whenever possible. Very interactive

Isabella, 1 lesson with Som

very patient and knowledgeable

Som is so helpful, especially since I’m learning entirely new concepts! I really appreciate his quick responses and his patience during our sessions. Very kind and knowledgeable!

Mary, 12 lessons with Som

Good Understanding of Algorithms

I had the pleasure of working with Som for a few sessions. During our lessons, I came away with a good understanding of topics such as asymptotic notations, recurrences and various sorting algorithms.

Dave, 4 lessons with Som
Hourly Rate: $100
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