Mayank

Rate L279
Response 1h
Students
Number of students Mayank has accompanied since arriving at Superprof
2
Number of students Mayank has accompanied since arriving at Superprof

L279/hr

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Machine learning

Data Scientist with 8 yrs exp|| MSc (Hons.) Mathematics, BITS PILANI ||MS Business Analytics, Carlson School of Management || Python, R, SQL, Pyspark, Machine Learning, Program

Machine learning

Lesson location

- Online

About Mayank

I have finished my Masters in Business Analytics at the University of Minnesota, Carlson School of Management. I have 9 years of work experience in Banking analytics, Insurance analytics and Consulting. I have 5 years of experience in the field of online teaching.

I have strong domain knowledge of Banking and Insurance. Cross-functional expertise across risk analytics, customer analytics, marketing analytics, strategy analytics, demand forecasting. Demonstrated ability to work across diverse teams and with business stakeholders. Onsite experience of working with different clients as well as international exposure in UK.

Technical skills:
- Exploratory Data analysis
- Predictive analytics
- Financial Analytics
- Data visualization and Storytelling

Software Tools: SQL, Python, R, SAS, Unix, Rapid Miner,MS Excel
Data Visualization : Tableau, Power BI
Big Data platforms - Pig, Hive, Spark, Hadoop, AWS

Database & Platforms: MySQL, Hadoop, AWS

Machine Learning :
Supervised techniques: Linear Regression, Logistic Regression, K Nearest Neighbor, Decision Trees, Support Vector Machines, Ensemble Methods (Random Forest, Gradient Boost, XGBoost), Neural Networks

Unsupervised techniques: Clustering(K Means, K Prototypes, DBSCAN, Hierarchical Clustering, Gaussian Mixture Models), Association rules, Latent Dirichlet Allocation, Principal Component Analysis, Topic Modelling
Apart from this, I am also proficient in the mathematics required for machine learning.

Personal interests: Playing chess, carrom, table tennis, cricket, and traveling.

About the lesson

Methodology:
I teach subjects by considering everything from scratch and in a practical manner.

Assumption:
The prior learning of the subject starts from the basic foundation principle.

Who can attend?
Any branch person who wishes to learn data science and Machine learning from a basic level.

All the best.

Data Scientist with 8 yrs exp|| MSc (Hons.) Mathematics, BITS PILANI ||MS Business Analytics, Carlson School of Management || Python, R, SQL, Pyspark, Machine Learning, Program

Lesson location

About Mayank

About the lesson

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online

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