PRASHANT SHUKLA

Looking for Co-op/Internship from Jan 2021

+1-857-***-**** adg5j1@r.postjobfree.com LinkedIn Boston, Massachusetts Experienced Data Analyst skilled in storytelling, automating, developing and compiling reports and dashboards through BI Tools. Adept knowledge in data analysis, data management and data visualization. Proficient in Tableau, Excel, SQL, R, Python and Business Analysis Education:

Northeastern University, Boston, MA Jan 2020- Dec 2021 Master of Science in Analytics CGPA 3.89/4

Relevant Coursework: Statistics, Predictive Modeling, Data Mining, Python, Data Visualization/Reporting, Big Data Marketing with Strategy, Risk management, Integrated experiential learning, Data management with big data, data driven decision making. Amity University, Noida, Uttar Pradesh, India July 2012-July2016 Bachelor of Technology in Electronics & Communication Engineering CGPA 7.12/10 Professional Experience:

Intense IP Services – Research Associate Feb 2019-Dec 2019

• Managed a team of 5 to investigate existing business practices to optimize and fabricate new HR module to make process better. Created dashboards to keep daily track on patent data and ongoing projects on Tableau.

• Developed model to classify patents based on various sectors with cluster analysis. Constructed KPI’s and KRI’s metrics (examination timelines, number of pending RCEs and art units) to predict monetized value of patents and possible litigation in future.

• Founded and explored possible use cases for Machine Learning Model, Data engineering areas and recommended solutions. Transferred solutions to support team and facilitated proper handover. Innovative Systems – Graduate Trainee Engineer Feb 2017-Jan 2019

• Collaborated with clients to understand their system and gap where machine learning can be implemented to make process and operation better. Liaised with senior leadership team to better understand needs, requirements, and business implementation.

• Managed project and Created visualizations (dashboards & stories) for business presentations with Tableau.

• Determined solutions for various datasets and engagements. Derived and Published models as web-service on Microsoft Azure and called it on various places of web applications as required. Technical Skills:

Languages: Python (Pandas, NumPy, TensorFlow, Keras, SciPy, Sklearn, OpenCV, matplotlib), R, R Shiny, SQL, MS SQL, SQL Server, No-SQL Operating Systems: Windows variants, Unix/Linux Databases: Microsoft SQL Server, Hadoop Tools: Tableau, Microsoft Excel, R Studio, SharePoint, MS Project, PowerPoint, MS Office Tools, Google Analytics, MATLAB Statistical Analysis: Machine Learning Algorithms, Clustering, Linear Regression, Logistic Regression, Dimension Reduction, Data Cleaning, Data Mining, supervised learning, unsupervised learning, Deep Learning, Customer Analytics, Web Analytics, Text Analysis, Time Series Analysis, Random Forest, Decision Tree, SVM, Naïve Bayes, KNN, CNN, RNN,DNN, Big Data Analytics, quantitative research, economics, and/or consumer behavior analysis. Cloud: Microsoft Azure Academic Projects:

Drug efficiency April 2020-June 2020

• Scrutinized three months data of patients who had a particular drug manufactured by Merck to improve success rate. Applied logistic regression epoch efficiency increased from 64% to 72%. Hence reduced number of test cycle on patients and cost of drug. Based on confusion matrixes calculated best KS value and increased AUC score. Also, applied K- Fold cross validation to get optimal mean absolute error.

S&P 500 Stock Price Prediction Jan 2020-April 2020

• Extracted, cleaned and analyzed S&P 500 Dataset to filter import features and performed time series analysis in Jupyter on Python. Applied ARIMA, Facebook's Prophet, stacked LSTM and AutoML to compare and obtained a minimum RMSE value of 3.23. MNIST Digit Recognition Jan 2020-April 2020

• Designed a Multilayer perception with back propagation to classify input images of size (28*28) into one of classes ranging from 0-9 for MNIST images dataset. It also included handwritten digits and grayscale factor. Achieved an accuracy of 97.5% utilizing Relu and Tanh activation function.

Professional Certificates, Awards & Achievements:

• Data Science using Python certificate by Udemy. Tableau Data analyst certification.

• Volunteered as a member in organizing committee for Amity Youth Fest from 2013 to 2016.

• Organized NGO and start-up expo in Amity Youth Fest in 2015 for which I received appreciation letter from HOD.

• Published Patent (IN202011023211A) in India on automatic sanitization of passenger vehicle in 2020.