Data Analyst
Resume:
*** ***** ******, ********, ** *****
Suchit Sharma
*******@***.***
LinkedIn: suchit-sharma
GitHub:suchitsharma24
SUMMARY
Engineering professional with strong numeric and analytical skills, over threemin years of experience in programing, Data Analysis &Visualization tools, proficient in building predictive analytics pipelines, data processing, and data mining algorithms for solving engineering/business problems SKILLS
• Machine learning: Supervised/Unsupervised/ Reinforcement Learning, NLP, Model Selection, Ensemble method, Pipeline,
• Deep Learning: TensorFlow, ANN, CNN, RNN, SOM, Boltzmann Machines, Auto Encoders, Transfer Learning,
• Data Mining: Python - NumPy, SciPy, Pandas, Request, Beautiful Soup, NLTK, JSON, API, etc.
• Data Visualization: Tableau, Jira, Python - Matplotlib, Seaborn, Excel, Statistical Techniques: Multiple Linear/Logistic Regression, Hypothesis Testing, ANOVA, CI, T-test, F-test, Residual Analysis
• Artificial Intelligence: Intelligent/Logical Agents, BFF, DFS, A*Search, First-Order Logic, Complex Decisions, Quantifying Uncertainty Programming
• Languages: Python, Java, C++, SQL, Tools: Excel, Spyder, Jupyter Notebook, Anaconda EDUCATION
Michigan Technological University Houghton, MI June 2018 --May 2020 MS Chemical Engineering GPA: 3.95/4
Optional Subjects: Advanced Mathematics, Machine Learning, Artificial Intelligence Indian Institute of Technology (ISM) Dhanbad Dhanbad, India July 2012 – June 2016 BS Mineral Engineering GPA: 3.5/4
Employment:
Michigan Technological University Houghton, Michigan Graduate Research Assistant June 2018 – June 2020
1. Project: Machine learning application for optimizing calibration settings of Beckmn Biomek Fxp automatic liquid dispenser
• Highly accurate liquid assay dispensing is required for formulating critical bio-assays
• Trained XGboost model on calibration variables vs volume dispensed from logging data
• Applied XGboost-PSO on RMS cost function to yield optimized calibration variables, prepared dictionary of calibration settings linked to assay classes, coded a lookup program to search for optimal calibration settings on assay class, volume, nozzle material type basis, frequency of operation basis
• Achieved 10-35% less Standard Deviation in dispensed volume with optimized settings per assay basis than fit-for-all standard manufacturer settings
2. Project: Application of Reinforcement Learning of optimization of batch bioreactor production of recombinant herpes simplex virus vectors
• High cost of viral vector production increases vaccine cost
• Implemented Iterative Learning Control for tracking control performance of batch mode production
• Carried out Real-time optimization (RTO) for improving performance index (virus vectors count per min) using nonlinear input/output mapping of biomolecular fluxes from reactor volume, Increased viral count by 7% than with non-optimized batch model
TEM and STEM application for materials science research 2019-April 2020 Image analysis of gold nano- particles and samples from battery applications for observing SSE boundary layer decomposition in Li- metal and Li -ion batteries with mechanical stress induced by charging- discharging cycles. Observing Li short-circuiting in Li -metal batteries through diffusion in SSE environment
MEMS/MUMPs design using Ledit: August 2019-December 2019 MEMS, PolyMUMPs design -heatuator, Chevron-beam actuator, mirror scanner, hinges, piezoelectric capillary pumps, passive bioMEMS devices using Ledit
Churn Analysis – Python & Azure ML Studio
Microfabrication Shared Facility (MFF), Michigan Tech July 2018-Dec 2018 Fabrication of monocrystalline silicon solar cell and Virtual Fabrication of CMOS device Testing of device I-V characteristics for confirming effect of physical patterning of contacts on the solar cell, SOP formulation of microfabrication procedure, validation of equipment and practices
Confocal Laser-Scanning Fluorescent Imaging Core Facility, ACMAL, Michigan Tech: July 2018-Aug 2018 Imaging of PDMS micropillars coated with hydroxyl ethyl amide for conforming effect of pH on adhesive property, fabrication of advanced adhesive material with catechol chemistry, pH activated hydrogel micro-pillared surface design for adhesion via proximity contact forces, characterizing the optimal pillar height and hydrogel coating via rhodamine fluorescence
Freeport McMoRan Phoenix, Arizona
Engineering Intern May 2019-August 2019
Project: Application of machine/deep learning for prediction of ore hardness from geo-metallurgical data to replace/substitute physical testing
• Physical testing of copper ore body log is time and cost expensive
• Project aimed at devising ML model to cut/replace physical testing and create predictive analytics awareness
• Data mining from geo-metallurgical datasets, KNN classification for ore-body domaining, max-pooling, PCA for dimensionality reduction for better visualization ore body data for ore body domaining
• Helped senior manager metallurgy to visualize distribution of geomet variables such as hardness etc. in the data
• Analyzed complex data using advanced excel techniques, applied predictive analytics using Keras neural nets, SVRs, decision trees for predicting “hardness” variables corresponding to outcomes from physical tests
• Generated heatmaps, matplotlib, seaborn visualization, importances, correlations, underlying key variables in geomet data set and suggested decision tree based physical test SOP before the team
• Presented report on statistical vs machine learning implementation on the project
• Underlined superiority of ML in prediction, distinguished causation vs correlation, “black-box” deficiencies in ML models compared to traditional stats.
Aakash Educational Services Ltd. New Delhi, India July 2016 – March 2017 Faculty
Delivered in person and online content on Probability & Statistics, Discrete Mathematics, Digital Electronics and Computer Organization, Computer Programming, Data Structures and Algorithms more to a batch of fifty plus students, supervised student progress reports and built online repository of education material for easy access. Projects:
• Analysis of mono crystalline silicon solar cell I-V data using Excel
• Computer vision projects involving VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs in Tensorflow and Keras
• Optimized convolution and max-pooling; CNN for image classification – cats/dogs
• ANN, Keras over Tensorflow model, experimented with several hidden layers, number of nodes, activation functions, value of hyper parameters, sampling, and dropout method; upscaling accuracy by 0.16%.
• Hobbies: swimming, classical music
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May 13, 2020 03:34 pm
Unofficial Academic Transcript for: Suchit Sharma
Michigan Technological University
This is NOT an official transcript. Courses which are in progress may also be included on this transcript. This transcript does not reflect the grades for repeated (excluded) courses. Repeat Codes:
I = Course Repeated (included in GPA, cumulative totals, etc.) E = Course Repeated (excluded from GPA, cumulative totals, etc.) Please use Internet Explorer when printing this page. Institution Credit Transcript Totals
STUDENT INFORMATION
Student Type: Continuing Masters
Curriculum Information
Current Program
College: College of Engineering
Major and Department: Chemical Engineering,
Chemical Engineering
***Transcript type:WWWW is NOT Official ***
DEGREES AWARDED
Drop
Degree:
Master of Science Degree Date:
Curriculum Information
Primary Degree
College: College of Engineering
Major: Materials Science and Engrg
Degree
awarded:
Master of Science Degree Date: May 02, 2020
Curriculum Information
Primary Degree
College: College of Engineering
Major: Chemical Engineering
Course Work Option: .
INSTITUTION CREDIT -Top-
Term: Summer 2018
College: College of Engineering
Major: Materials Science and Engrg
Subject Course Level Title Grade Credit
Hours
Quality
Points
R
CH 5730 GR Confocal Microscopy A 1.000 4.00
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*** Unofficial Transcript ***
Term: Fall 2018
College: College of Engineering
Major: Chemical Engineering
Subject Course Level Title Grade Credit
Hours
Quality
Points
R
CM 5100 GR Appl Mathematics for CM A 3.000 12.00
CM 5200 GR Advanced CM Thermodynamics AB 3.000 10.50 CM 5310 GR Laboratory Safety A 1.000 4.00
EE 5471 GR Microfabrication Laboratory A 2.000 8.00
*** Unofficial Transcript ***
Term: Spring 2019
College: College of Engineering
Major: Chemical Engineering
Subject Course Level Title Grade Credit
Hours
Quality
Points
R
CM 5300 GR Advanced Transport Phenomena A 3.000 12.00 CM 5400 GR Adv Reactive Systems Analysis A 3.000 12.00 MSE 5550 GR TEM A 3.000 12.00
*** Unofficial Transcript ***
Term: Summer 2019
College: College of Engineering
Major: Chemical Engineering
Subject Course Level Title Grade Credit
Hours
Quality
Points
R
UN 5000 GR Graduate Co-op Education I
UN 5000 grade changed from C
A 1.000 4.00
*** Unofficial Transcript ***
Term: Fall 2019
College: College of Engineering
Major: Chemical Engineering
Subject Course Level Title Grade Credit
Hours
Quality
Points
R
BE 5670 GR Micro & Nano Technologies A 3.000 12.00 CM 5500 GR Theory and Methods of Research A 2.000 8.00 CM 5990 GR MS Research P 1.000 0.00
CS 4811 GR Artificial Intelligence A 3.000 12.00
*** Unofficial Transcript ***
Term: Spring 2020
College: College of Engineering
Major: Chemical Engineering
5/13/2020 https://www.banweb.mtu.edu/owassb/bwskotrn.P_ViewTran https://www.banweb.mtu.edu/owassb/bwskotrn.P_ViewTran 3/3 SITE MAP
© 2020 Ellucian Company L.P. and its affiliates.
Subject Course Level Title Grade Credit
Hours
Quality
Points
R
EE 5841 GR Machine Learning A 3.000 12.00
*** Unofficial Transcript ***
TRANSCRIPT TOTALS (GRADUATE) -Top-
Attempt
Hours
Passed
Hours
Earned
Hours
GPA
Hours
Quality
Points
GPA
Total Institution: 32.000 31.000 31.000 31.000 122.50 3.95 Total Transfer: 0.000 0.000 0.000 0.000 0.00 0.00
Overall: 32.000 31.000 31.000 31.000 122.50 3.95
*** Unofficial Transcript ***
Phoenix Corporate Office
333 N. Central Ave.
Phoenix, AZ 85004
October 14, 2019
Coordinator,
SME Award & Scholarship Coordinator,
12999 E Adam Aircraft Cir
Englewood, CO 80112
Dear Sir/Madam,
It is my pleasure to write this letter of recommendation on behalf of Mr. Suchit Sharma who is applying for the SME academic scholarship.
Suchit interned in Freeport McMoRan Headquarter located in Phoenix (AZ) from May 13th to August 30th during which I had the opportunity to be his Mentor. During his internship with our company, he showed sincerity and innovation in his work. I was impressed with his technical skills in programming and implementing machine learning technology for drawing insights from geo-metallurgical datasets. His task was to explore the potential of these newer techniques to domain ore bodies for comminution purpose. His work showed originality and surely sparked interest. His enthusiasm to explore into new ideas and work towards goals was exceptional. He displayed independence and ability to take initiative. At the same time, he showed considerable interest in learning operational technicalities, company’s culture and practices and its operations. He was quick to learn and collaborate with his teammates. He showed willingness to learn from his colleagues and his participation in the team meetings was exemplary. The learning opportunities applied on both sides when he prepared a workshop for his peers. I have no doubt in admitting that I am completely satisfied with the quality of his work and professional approach. Since he will be spending another year at university to complete his studies in chemical engineering, I take this opportunity to recommend him for your scholarship support program.
Please do not hesitate to contact me for more details if needed. Sincerely,
Michel Brissette
Metallurgy Manager
Telephoe: 602-***-****
Email: ********@***.***
Suchit Sharma
June 22th, 2020
Talent Acquisition Department
Dear Recruiter,
I am interested in the Data Analyst job listed on your online posting. As a professional with experience in data analytics and research, I believe I am a strong candidate for the position. I have done my graduate studies from Michigan Technological University and undergrad from Indian Institute of Technology Dhanbad. knowledge in machine learning to formulate solutions to research challenges. During my graduate assistantship I built machine learning program for optimizing calibration settings of automatic liquid dispenser. The dispenser had accuracy issues while formulating critical bioassays. My project program found, stored and generated on demand, the necessary settings when working on particular assays. My second project around low-cost vaccine preparation involved real time optimization for efficient use of resource and maximize carrier production. I tackled this optimization problem with a reinforcement learning approach increasing process efficiency. I have previously worked as engineering intern at Freeport McMoRan in Arizona, USA. My job included applying machine learning in form of python scripts running on Keras/Pytorch packages. Project included trying SVRs, linear regressions, decision trees and CNNs for building prediction model on hardness of ore from metallurgical data. I am pleased to that I have scored consistently well in my graduate studies apart from my research endeavors and I have undertaken several classroom and practice projects in data anlytics. In addition to my current GPA at 3.95/4, I worked on various data visualization and analytical projects as mentioned and continue to seek greater challenges with challenges in future. I believe due to my problem- solving skills, ability to work with others, and a strong interest in learning new things will make me a useful resource to the company. I am familiar with the challenges related to the projects and have solutions finding capability.
I have attached my resume and looking forward to hearing from you. Thank you for your time and consideration.
Sincerely,
Suchit Sharma
During my graduate studies, as graduate research assistant, I have tried to implement my 906-***-**** • *******@***.***
Professional Reference
Suchit Sharma
*******@***.***
1. Timothy C. Eisele, Associate Professor (My MS research Adviser 2018-2020) ********@***.***
202K Chemical Sciences Building,
Michigan Technological University
Houghton, Michigan 49931
2. Michel Brissette (My manager during summer internship 2019) Metallurgy Manager
Telephone: 602-***-****
Email: ********@***.***
Freeport McMoRan
Phoenix Corporate Office 333 N. Central Ave. Phoenix, AZ 85004 3. Chito Kendrick (My instructor for microfabrication laboratory) Director of the Microfabrication Facility at Michigan Technological University ********@***.***
Cell: 814-***-****
Michigan Technological University
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