tusharsoam adlı kullanıcının profil görüntüsü
@tusharsoam
India bayrağı New Delhi, India
29 Mart 2017 den beri üye
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tusharsoam

Çevrimiçi Çevrimdışı
I am currently working as a Machine Learning Engineer in an Indian company. Proficient in data-based model development, data manipulation & analysis tools using Python, RStudio, MySQL etc.
$20 USD/hr
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Tecrübe

Project Engineer

Aug 2017 - Jul 2018 (11 months)

Topic: Conversion of Engineering Drawings into Structured Digital Data •Developed a table detection algorithm from bordered drawings using morphological transformations with precision ~99% •Developed a table processing algorithm to convert simple tables into excel tables with 100% accuracy using Tesseract OCR •Designed an algorithm to classify tables as simple or complex based on the alignment of vertical and horizontal lines of the table

Data Science Intern

May 2016 - Jul 2016 (2 months)

Forecasting of Electronic Parts' Price Based on Foreign Exchange Rate Using Holt-Winters Exponential Smoothing Algorithm •Desgned & deployed a recommendation-cum-price prediction tool to make intelligent decisions using Python and Pandas •Compared predictive performance of Autoregressive Integrated Moving Average (ARIMA) and Holt-Winters models on Forex rates •Performed exploratory analysis to confirm dependency of electronic parts' price on Forex rates, raw materials, gold and oil rates

Term Project

Jan 2016 - Apr 2016 (3 months)

Topic: Regression Analysis on Gene Expression and Gleason Score to Identify Therapeutic Targets and Diagnosis of the Disease •Developed multinomial regression model between gene expression & Gleason Score to enable characterization of disease at genetic level •Employed advance dimensional reduction techniques as 12,000 genes were used as regressors on 300 Gleason scores of patients •Captured 3 important genes that cause prostate cancer which can be used as therapeutic targets for the disease

Algorithm Benchmarking

Dec 2015 - Jan 2016 (1 month)

Benchmarking and Improvement of a Vehicle Allocation Engine Based on Simulated Annealing Algorithm •Developed a channel for automated importing of SOLOMON & TSPLIB datasets into JSON format and sending request to server •Benchmarked Simulated Annealing Algorithm against NP-hard TSP and capacitated vehicle routing problem (CVRP) datasets •Enhanced the efficiency of algorithm by redefining the cooling schedule and parameter tuning by 30%

Research Intern

Apr 2015 - Jul 2015 (3 months)

Topic: Systematic Evaluation of Method for Integration of Transcriptome Data in Kinetic Models •Developed chemical kinetic model of glycolysis & its dynamics based on Michaelis-Menten ODE using Cell Designer & COPASI Software •Developed a method for integration of transcriptome data in kinetic models to capture metabolic remodeling in respective conditions •Efficiency of model was 70%, results suggested some critical insights in data integration methods for simulating biological systems

Eğitim

Integrated B.Tech and M.Tech, Biotechnology

2012 - 2017 (5 years)

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