AKASH SINGH

NAPA,CA-***** 857-***-**** Email: adi52r@r.postjobfree.com https://github.com/Akash-Singh539 https://www.linkedin.com/in/akash--singh https://public.tableau.com/profile/akash.singh2979 EDUCATION

Northeastern University Boston, MA, United States June 2020 Master of Professional Studies in Analytics (Statistical Modelling) GPA 3.70/4.0 Bharati Vidyapeeth College of Engineering Pune, India June 2016 Bachelor of Technology in Electrical Engineering GPA 3.20/4.00 TECHNICAL SKILLS

Programming Languages: Python, R, SQL, Spark

Database: Amazon Relational Database Service (RDS), MS Access, Microsoft SQL Server, MySQL Certifications: Google Analytics Individual Qualification (GAIQ) 2020, Alteryx Designer Core 2020 Software & IDEs: R Studio, Jupyter Notebook, PyCharm, MS Office, PHstat, SAS, Spyder Machine Learning Frameworks: Keras, TensorFlow, NumPy, sklearn, NLTK, AWS Analytics, Pandas, H2O Data Visualization & BI Tools: QuickSight, Tableau, Power BI, Alteryx, matplotlib, Seaborn, R shiny, ggplot, plotly, MS Excel PROFESSIONAL EXPERIENCE

Advance Engineering Solutions Delhi, India July 2016 – Jun 2018 Designation: Sales Analyst

• Prepared & maintained weekly, monthly & quarterly reports for the executives, managers and assisted the sales team with analysis that increased sales performance.

• Spearheaded in-depth analysis of stockroom operations that led to a 14% decrease in operating costs.

• Identified and established potential business opportunities for gaining market share through market basket analysis and segmentation which raised business volume by 8%.

• Worked on development and implementation of sales performance metrics, conducted comprehensive competitor analysis, prepared monthly sales forecasts & negotiated contract agreements.

• Technologies used: Tableau, MS Excel, VLOOKUP, MS office, VBA, MySQL, Python ACADEMIC PROJECTS

Student Move-In Issues Sponsored by The City of Boston April 2020 – Jun 2020

• Built real time Dashboard using AWS architecture to analyze Boston 311’s online service which resulted in 50% reduction in the processing time to recycle, redistribute the goods from the streets and presented a cost effective solution to stakeholders:- Recycling works MA, Wood waste of Boston Inc, Earth911 and Boston mayor’s office Representatives etc.

• Technologies used: Python, AWS Rekognition, S3, Athena, Quick sight, Lambda, IAM, Amazon CloudWatch, AWS Glue, BeautifulSoup4

Customer Profiling & Targeting Sponsored by J Crew Jan 2020 – Mar 2020

• Implemented demographic-based customer segmentation on J Crew stores in United States, performed cluster analysis on the segmented data, developed KPI’s and presented dashboard suggesting improvements in business model to the marketing team for better customer targeting and ad-campaigns.

• Techniques used: Python, K-means Clustering, PCA, Tableau, Alteryx for ETL Data Breach and Malicious activity threat Analysis Sponsored by GE Aviation Sept 2019 – Dec 2019

• Developed a classification model for cyber security team to identify type of alerts generated in the system based on threat level, which resulted in improving the accuracy to distinguish alerts triggered by almost 90%.

• Techniques used: Python, Random Forest, XGboost, Matplotlib, Tableau, NumPy, pandas, sklearn Amazon Product Recommender System using Python Northeastern University April 2019 – May 2019

• Designed a recommendation engine to find & recommend 2 most similar items based on average customer ratings with an accuracy of 92.59% and performed sentiment analysis on reviews to analyze customer response.

• Techniques used: Python, TF-IDF, Item based collaborative filtering, KNN Algorithm, Feature engineering, logistic regression