Pursuing M. Stat (Master of Statistics) at Indian Statistical Institute, Kolkata with specialization in Applied Statistics, Machine Learning & Finance after graduating B. Stat with First Class Honors from ISI Kolkata.
As part of my curriculum, I have undergone courses in Regression Modelling, Multivariate Data Analysis, Time Series, Statistical(Parametric, Bayesian and Nonparametric) Inference, Stochastic Processes, Pattern Recognition, Statistical Computing, Quantitative Finance, Optimization Techniques etc. besides some MOOCs on Data Science and ML.
I also did my summer internship project at Capital One Data Labs, Bangalore working on modelling Probability of default (PD) of Capital One AutoFinance portfolio under the Credit Risk Management Team
- 200+ /hr
Interested in finding valuable insights from the data using statistical and data science techniques.
Coding is my passion, which gives me inner peace.
Professional with multidisciplinary academic background of \"Masters in Statistics\".
Strong hands on Statistics, Statistical modelling, Predictive Analytics, Machine learning, Deep learning, AI, NLP, Python, SQL and R.
Enthusiastic to learn new technologies. Passionate about implementing Data Science techniques and expand the domain of my knowledge base.
- 600+ /hr
Identify relationships and trends in data, as well as any factors that could affect the results of research.
? Report results of statistical analyses, including information in the form of graphs, charts, and tables.
? Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
? Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
? Develop software applications or programming to use for statistical modeling and graphic analysis.
? Develop and test experimental designs, sampling techniques, and analytical methods.
? Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data.
? Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used.
? Process large amounts of data for statistical modeling and graphic analysis, using computers.
? Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- 1,000+ /hr