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Information About Kishan - Luton trainer

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This is how 3 referees rated Kishan:

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Specialisms Taught

AI

Hourly Charge
Beginner £70.00
Intermediate £70.00
Advanced £70.00
Expert £70.00

Python

Hourly Charge
Beginner £70.00
Intermediate £70.00
Advanced £70.00

Personal Description:

Data scientist at a fintech company and PhD in Physics from Imperial College London. I provide a range of tutoring services for those looking to learn more about statistics, machine learning, and data science. These include:
• Statistics (e.g… hypothesis testing, bootstrapping, confidence intervals, error analysis, sample size calculations)
‌• Machine learning (e.g… model building, random forests, xgboost, neural networks, regression, SVM, cross validation)
‌• Python for data analytics (e.g… jupyter, numpy, scipy, pandas, scikit-learn, matplotlib, dask, keras, seaborn)
• Building machine learning pipelines in python to solve business problems
‌• SQL for data retrieval and analytics
‌• Career coaching and support to enter data science (e.g… help writing CV, interview preparation for data science)
‌• Applying data science to business problems
‌• Building a data science project portfolio using GitHub, Kaggle, and other open data sources

My background:
• MSci Physics (1st), Imperial College London (2008). I was awarded the Callendar Prize for all-round excellence in Physics.
• PhD Physics, Imperial College London (2016). I was based in both physics and a clinical research group building mathematical models in MATLAB and C++ of abnormal heart rhythms. I also analysed large clinical time-series data using novel signals processing methods and machine learning to predict fainting events. During this time I published two high-profile papers which gained media coverage.

After my PhD I became a data scientist via the competitive ASI fellowship and have worked in multiple tech companies including a large FTSE 250 company. I thoroughly enjoy the subject and miss the teaching opportunities in academia, hence I tutor in my spare time.

Training Experience:

During my PhD I have:
• Supervised 14 Master's students during their final year research project and dissertation
• Demonstrated in undergraduate computing labs on how to use python for data analytics
• Given supporting lectures to large groups of undergraduates in addition to their primary lectures from professors
• Won multiple teaching awards for the above as voted for by students

Training Approach:

I am genuinely passionate about these subjects and thoroughly enjoy teaching. I tailor to the need of the student, but like to go from theory to application in baby steps to develop depth and intuition about these topics. My sessions involve both theory, for which I provide material and references, and application, for which I provide sample code to demonstrate how to use the taught methods.

Native Language: English (British)
Availability: Weekends / Weekdays (evenings)
References Available: Yes (✔ On File)

Qualifications:

  • Imperial College London (2016) - Physics (Doctorate) (✔ On File)
  • Imperial College London (2012) - Physics (Masters) (✔ On File)

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