Rahul Goswami
B2-224, Kameng Blog(IROBLACK):
http://www.statml.in
Indian Institute of Technology, Github:
https://github.com/yuvrajiro
Guwahati , Assam - 781039 E-mail:
yuvrajiro@gmail.com
Mob : +919044725608 Academic E-mail:
rahul.goswami@iitg.ac.in
——————————— ——————————————————————————————————————————————–
[[sec:research_backg]]{#sec:research_backg label=”sec:research_backg”}
Statistical Machine Learning, Ensemble Techniques ,Bayesian Inference , Anomaly Detection , Survival Analysis , Default transaction detection
Indian Institute of Technology, Guwahati. –Current
Junior Research Fellow Department of Mathematics GPA in Coursework : 8.76/10 – via 42 credits
In my coursework I took 6 Courses , 1. Probability Theory , 2. Real Analysis 3. Linear Algebra 4. Advanced Topics in ML 5. Advanced Statistical Algorithm 6. Statistical Foundation for Data Science
Course Repo https://github.com/yuvrajiro/MA691
Banaras Hindu University, Varanasi. –2020
M.Sc. Statistics and Computing , Centre for Interdiscplinary Mathematical Sciences GPA: 8.4/10 – via 84 credits
During my Masters, for the first time, I was introduced to Bayesian Inference by my professor, who was also Secretary of the Indian Bayesian Society. I was Influenced by Bayesian Technique a lot then. While my Masters I took two courses, "Bayesian Statistics" and "Computational Statistics," which were focused on Sampling and MCMC Techniques. Along with these courses, I took many courses related to Regression, Probability, Survival Analysis, etc. which shaped my deep understanding of statistical methods
I have consolidated some of my codes at master here https://yuvrajiro.github.io/Mini-R-Programs/
Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur. –2018
B.Sc. Statistics and Computer Science (2yrs. Mathematics ) Department of Mathematics and Statistics
At my Bachelors, I took Statistics and Computer Science as my Major, with two years Mathematics, with First Division. While doing my Bachelor’s, I have cleared CS1 Certification Course by the Institute of Actuaries India, which is at par with the Institute and Faculty of Actuaries (IFoA) London.
[[sec:technical_ski]]{#sec:technical_ski label=”sec:technical_ski”}
Programming Languages: R , Python, Julia , C
Package Expertise: Pytorch , Scikit Learn , Scikit Survival ,
[[sec:research_exper]]{#sec:research_exper label=”sec:research_exper”}
[[sec:research_exper]]{#sec:research_exper label=”sec:research_exper”}
[[sec:research_exper]]{#sec:research_exper label=”sec:research_exper”}
[[sec:research_exper]]{#sec:research_exper label=”sec:research_exper”}
Qualified Graduate Aptitude Test in Engineering (GATE) (Statistics) GATE is an Exam Held by one of the premier institutes of India for admission in Graduate Programs, in 29 Subjects,m In which I have appeared for the subject Statistics and Secured All India Rank 63, which helped with the admission at the IIT, Guwahati
Qualified IIT-JAM IIT-JAM is an Exam, which held on All India Level for Admisson into Masters Courses, I have Secured All India Rank 306 in the subject Mathematical Sciences
https://onedrive.live.com/?authkey=%21AFbG6zrhBW7pT%2DY&cid=8F952B62EC40D482&id=8F952B62EC40D482%214143&parId=root&o=OneUpFuzzy Logic and Neural Networks , NPTEL Took the course Fuzzy Logic and Neural Networks during my Masters and Qualified the Proctored Exam Held by Indian Institute of Technology
Operations Research , NPTEL Took this course while I was in my Masters , and Qualified A proctored Exam Held Indian Institute of Technology with Top 1% of the Class
Andrew NG’s Machine Learning Course Took Andrew NG’s famous Machine Learning Course from Coursera
Practical Machine Learning With Tensorflow – NPTEL Took MOOC’s organised by NPTEL, whcih introduced me to practical applications of Neural Networks
CS1 from Institute of Actuaries India Qualified Core Statistics 1 which is at par with IFoA
Research Blog Oftenly write blog on my blogsite : https://www.statml.in
Implementation of COBRA: A Combined Regression Strategy Implemented the COBRA Algorithm form the paper COBRA : Combined Non Linear Regressor Aggregation , this used data dependent techniques to aggregate predictions by various machine learning here https://github.com/yuvrajiro/COBRA
[[sec:research_exper]]{#sec:research_exper label=”sec:research_exper”}
Chegg : Helped more than 1000 Students with their homework on Statistics and Probability
Upwork : Done 5 Projects related to data science of clients from USA