linkedin.com/in/arafat-salam 917-***-****
Wood-Ridge, NJ, 07075 *****.********@*****.***
Arafat Salam
PROFESSIONAL SUMMARY
Interpreting and analyzing data in order to drive successful business solutions. Proficient knowledge in statistics. WORK EXPERIENCE
Bank-Miller Co. Inc. March 2020 – Present
Co-Op
• Implemented a regression model to predict revenue based on past trends.
• Organized data collection efforts and setup the DBMS system using SQL lite.
• Automated periodical summary report generation using Python saving more than 50-man hours per month.
• Generated reports of $12M in annual sales and $2M in purchases. Cytocybernetics May 2019 - August 2019
Summer Intern
• Assisted developing fluorescent assay for single cell detection using a voltage sensitive dye.
• Assisted develop a dynamic clamp system, the Cybercyte, that allows for the integration of electrically generated ion channel currents in real time signal into signals into recorded cardiomyocytes, neurons and common cell lines.
• Designed, debugged, and tested software applications used in biological research.
• Created install scripts and user manual for applications and implemented algebraic and differential equations in Python for both analytical and numerical results.
University at Buffalo January 2018- May 2019
Research Assistant
• Prepared and maintained laboratory equipment such as PCR machine, Electrophoresis Apparatus and Dry Block Incubators prior to and after work.
• Performed quantitative Real Time Polymerase Chain reaction experiments (qRT-PCR), DNA plasmid purification, DNA gel electrophoresis and Cloning.
• Isolation and culture of stem cells from bone marrow and hair follicle, primary keratinocytes and fibroblasts, primary salivary gland cells from parotid and submandibular glands. EDUCATION
University at Buffalo, The State University of New York May 2020 Bachelor of Science, Chemical Engineering
Cumulative GPA: 3.23
TECH I.S School of Programming October 2020
Data Science, Computer Programming
PROJECTS
• Volkswagen Stocks on Python: Automated stock prediction using python and its libraries to predict Volkswagen stock prices based on the previous stored data. Implemented the scatter, spline and multiple regression plotting with coordinates [Time in Yrs, Price in EUR].
• Glass identification based on chemical composition: Created a model with high accuracy for glass identification using python and its libraries through measurements of chemical components by weight. The model trained was a Random Forest Classifier
SKILLS
• Technical Skills: Proficient in MS Excel, VBA, HTML, Power BI, CSS, Python, MYSQL, PostgreSQL, Tableau
• Python Libraries: Seaborn, Matplotlib, Pandas, NumPy, Quandl
• MS Access, Data Management and QuickBooks, Git/GitHub
• AutoCAD, Machine Learning, Swift
• MATLAB, Maple, UniSim, Mathematica
CAMPUS INVOLVEMENT
• Member, American Institute of Chemical Engineers
• Member, National Society of Black Engineers
• Member, Society of Asian Scientists and Engineers