I am a data analyst by profession, and I have experience in gathering, organizing, aggregating, transforming, analyzing, exploring, and visualizing data to uncover hidden patterns and trends. I am assured to be competent in building, training, and evaluating predictive models for unseen data using Python, R, SQL, Tableau, Power BI, Talend, Trifacta, and OpenRefine in addition to basic familiarity with big data and cloud solutions to resolve critical business issues and make informed strategic data-driven decisions with valuable, meaningful and actionable insights.
I have a post-graduate degree in data science; previously, I earned undergraduate and master’s degrees in STEM disciplines specializing in quantitative analytics with mathematics, statistics, and computer science.
My specialties include but are not limited to data acquisition, preprocessing, data cleansing, data manipulation, exploratory data analysis (EDA), data visualizations, and machine learning.
Please connect with me about any of your data science and analytical needs so we can discuss how I can help you and your team.
Executive Post Graduation in Data Science
International Institute of Information Technology (IIIT Bangalore)
Master of Computer Application(MCA)
RG Kedia College (Osmania University, Hyderabad)
BSc (Mathematics, Statistics & Computer Science)
Aurora Degree College (Kakatiya University, Warangal)
Fri, Dec 1, 2017, Data Science workshop
Thu, Sep 14, 2017, Portland R User Group Workshop
Fri, Jun 24, 2016, Hands-on Data Jamboree
Thu, Sep 26, 2013, All hands meet Seminar
A guide to getting up and running with blogdown, GitHub, and Netlify
The challenge is to recognize fraudulent credit card transactions so that the customers of credit card companies are not charged for items that they did not purchase, in this notebook will go throuh main challenges involved in credit card fraud detection using machine learning
This graph will shows us about the Telangana election results of MPTC (Mandal Parishad Territorial Constituency) winners lists in the state in 2019 elections which was condusted during that year, it indicates each winner and other opponent details including how many votes they got in that elections
World Population Yerly Cumulatively Added Count Since 1950 to current 21st centuary
తెలంగాణలోని… అన్ని జిల్లాల్లోని రెవెన్యూ డివిజన్లో, మరియు మండలాల్లో మొత్తం జనాభా
The goal of this project is to develop and validate a novel objective measurement tool, the Multi-modal Autism Phenotype Snapshot (MAPS), for use in clinical trials targeting core symptoms of autism. This project was funded by a Catalyst Award from the Oregon Clinical & Translational Research Institute.
A Sample Notebook for upcoming projects to write it down as external file from other site link it here
The objective of this project is to further understanding of sex differences in the fundamental patterns of behavioral and social functioning relevant to the clinical presentation of ASD. Guided by our previous research, we applied Natural Language Processing based methods to transcripts of natural language samples in order to quantify features of atypical language use in females with ASD.
I have worked as a training instructor for the “Data Science Using R” and “Data Science Using Python” with Online Courses at LUCID IT Training, additionally working as an adjunct professor for IIM students on weekends and freelancing trainer for other institutions.
Former part-time lecturer for B.Com. and B.Sc. (mathematics, statistics, and computer science) undergraduates at:
- Siva Sivani Degree College
- LN Gupta Degree College
- G M Sanghi College of Commerce & Science