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Priority DM . 2 days reply
Video meeting . 15 mins
4.6
Priority DM . 7 days reply
Career/Guidance/EB1A. Free call scheduling after.
Send questions. Will send call link based on discussion.
Video meeting . 15 mins
5
About me
I believe in: Stay Hungry, Stay Foolish and Yield Smart
☛ Data Scientist at Amazon, working towards improvement of Amazon Echo's abilities using advanced NLU, SLU and Deep Learning.
☛ Graduated from The State University of New York, Buffalo with Master's in Management Information Systems.
☛ Data Science Enthusiast, Result-oriented team player with strong communication abilities, and proven leadership qualities.
☛ Thorough Professional with 4 years of work experience as Data Scientist in finance and accounting domain.
☛ Proficient in leading projects, business analysis, process improvement, client-focused interactions and managing end to end delivery with an aim to maximize profits and lead industries in highly competitive situations.
☛ Adept in various aspects of SDLC from requirement gathering to post-production support while complementing PMO activities.
☛ Working for IBM for 3.5 years, I have acquired considerable experience in quantitative analysis, data modeling, data analysis, predictive analysis and storytelling in Billing and Ordering systems.
☛ I am currently expanding my learning in the field of Deep Learning & NLU.
☛ I believe the analytical skills acquired during my job have set me up to assume a role in any industry. Being part of critical projects, I am well suited to fast pace challenging environments.
Skills:
Programming: SQL, Python, R, SAS
Tools: Tableau, RStudio, Spyder, Jupyter Notebook, SAS Enterprise Miner, Weka, Excel, AWS
Databases: IBM DB2, Oracle 11g, MySQL
Big Data: Hadoop, HDFS, Map-reduce, Hive
Statistics: Hypothesis testing, Exploratory data analysis, Descriptive statistics, Probability distribution, Sampling distribution, ANOVA
Machine learning: Linear regression, Logistic regression, Decision Trees, Random Forest, Association Rule Mining(Market Basket Analysis), Naive Bayes, K-nearest neighbors, Recommendation Systems, Support Vector Machines, Gradient Descent
Contact Information:
✉: [email protected], [email protected]
- Shubham Garg's expertise and strategic insights during EB1A consultation were invaluable, providing clear direction and confidence.