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
Pursuing Statistics and interested in Data Science and Machine Learning,
Would like to work on projects where I can enhance my skills and deliver my best through my work.
- 200+ /hr
Associate professor at Nmims University , SBM
- 2,000+ /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
An Analytics leader with 12 + years of core hands on experience having a track record on Presales,
Partner Management, Analytics delivery and Team management across domains and in world Class
Organizations. Good solutioning and hands on knowledge in end to end BFSI Analytics space .Expertise
in Application, Behavior, Collection , Portfolio Valuation, PD, LGD , EAD scorecards, Basel n CCAR
implementations.Have worked with BFSI clients across workd with likes of Barclays , SunTrust , Bank of
Ireland, ICICI bank, AXIS bank, Moneygram and many other global nanes.Have been part of FICO and
Experian credit bureaus and have deep understanding of Bureau models and scores.
In my last 3 roles spanning over 6 years , I have been leading Analytics practise for a particular vertical
namely BFSI Risk Analytics at Infosys , BFSI Analytics at Brillio and Global lead of B2B business at
Vodafone. I have experience in building strategic analytics teams with people management being my
I have been appreciated in my last roles for excellence in partner and senior stakeholder management
and being able to show value impact through analytics.Awarded the best manager at Vodafone in just
6 months for the transformation I bought in team and also showing a value incremental impact of
nearly 25 mn in first year of my role in just 1 market.
- 5,000+ /hr
Data Scientist combining classical statistical approaches with more modern machine learning methods.
I\'m a data scientist with 5 years of experience in research and in leading new software projects, data mining and machine learning. I enjoy working on using Big Data stream mining and large-scale data analysis to gain insights from Big Data. I design and build applications on real-time data mining, at the intersection of mathematics, data science, algorithms, and business.
I have two degrees in mathematics, one in Pure Mathematics and the other in Applied Mathematics. This degrees gave me an solid mathematical preparation, skills and ingenuity in mathematical modeling techniques like machine learning, computer fluid dynamics, data mining, time series and regression that can suit a wide range of applications in various branches of economy and industry and facilitated the use of computational and numerical techniques applications. With excellent skills in computer simulation using Monte Carlo methods.
My main areas of expertise and interest are:
- Applied Mathematics(Data Science, Probability and Statistics)
- Machine Learning algorithms (Python - scikit-learn, pandas, numpy, scipy; R)
- Applied Data Science (credit risk finance, stock market, portfolio management, V@R, ES and CV@R)
- Optimisation Modeller
- Deterministic Models like population models or CFD (in C and Fortran)
- Big Data(Hadoop, Scala/Figaro and SQL, Spark for Apache Server)
I like working collaboratively with a group of people in order to achieve a goal in a good group spirit.
- 50+ /hr
• Hands on experience on Linear Regression, Logistic Regression, Decision Tree, Random Forest.
• Hands on experience in unsupervised learning using K-means clustering and hierarchical clustering.
• Good understanding of ROC, AUC, KS and Confusion matrix.
• Time Series analysis using- Hot Winters, AR, MA and ARMA.
- 100+ /hr
Certified data scientist with R
- 100+ /hr
I completed my Post Graduation Program in data analytics and Internship at Inosfe (HYD). After working on several real time projects at Insofe now I\'m looking for jobs in Data analytics. The PGP course of six months and an internship of two months helped me in nurturing my skills in data science.The internship shaped my thinking in how to approach real world problems.
- 150+ /hr