Recruit the Best Data Scientists | Python and Data Analysis
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Hire Skilled Data Scientists With Expertise in the Manufacturing Industry

Experienced Data Scientist Proficient in Python and Data Analysis


Experienced data scientist with over 5 years of experience in solving complex problems through data analysis in the manufacturing industry. Proficient in Python languages, adept at utilizing advanced statistical techniques, predictive modeling, machine learning, text analysis, and data mining algorithms for effective data processing. Also, possesses practical expertise in diverse areas such as process excellence, improvement projects, total quality management, and quality assurance within the steel industry. Certified as a Six Sigma Black Belt professional. Displays high levels of energy, goal-driven mindset, adaptability, and excellent team collaboration skills.

Work Experience


  • Conducted root cause analysis to identify quality defects in flat and long steel products, leading to cost reduction and improved customer satisfaction through data analysis
  • Monitored processes and implemented best practices and new SOPs to optimize quality and continuously improve productivity using total quality management approach
  • Utilized statistical analysis techniques such as hypothesis testing, DOE, ANOVA, correlation, and regression analysis to solve problems and optimize processes using the Six Sigma approach
  • Implemented a 2 by 2 matrix to assess the stability and capability (Cpk, Ppk) of critical to process (CTP) and critical to quality (CTQ) parameters across the steel zone
  • Prepared and analyzed IQIS and MIS reports on the monthly performance of the steel zone’s processes
  • Implemented SLA (Service Level Agreements) and WI/SOPs (Work Instructions/Standard Operating Procedures) across various plants in the steel zone
  • Led digitization efforts, including the development of an online defect prediction modeling system and the design and implementation of an SLA tracking system and IQIS system.
  • Worked on a project concerning Python for Data Science – UBER Drive.
  • Analyzed different aspects of trips made by Uber drivers using Python functions
  • Utilized Python skills to interpret and analyze data
  • Contributed to a project studying statistical and probabilistic analysis of store sales, university survey, and manufacturing data.
  • Utilized descriptive statistics, probability, and probability distributions to draw inferences from case studies on store sales, university survey, and manufacturing shingles data
  • Applied various estimation and hypothesis testing measures to analyze the case studies.
  • Worked on a project based on advanced statistics – salary analysis using ANOVA and principal component analysis on college admissions data.
  • Used exploratory data analysis, analysis of variance (ANOVA), and principal component analysis (PCA) to draw inferences from case studies on salary analysis and college admissions data
  • Served a project on data mining – bank customer segmentation and insurance claim prediction.
  • Employed clustering, classification and regression trees (CART), random forest, and artificial neural networks to draw inferences from case studies on bank marketing and insurance.
  • Utilized performance metrics to validate the predictions on test and train sets


  • PG Program in Data Science and Business Analytics from Great Learning
  • B.E, Mechanical Engineer from Birla Institute of Technology, Ranchi


  • Six Sigma Black Belt (AST), Indian Statistical Institute, Mumbai
  • “Advanced MSA with Minitab” from Q-sutra
  • Emerging Leader program 2021-XLRI Jamshedpur
  • LEAD AUDITOR ISO 9001:2015, ISO 5000:2018, IATF 16949 BY TUV NORD
  • Achieved 1st prize in the 14th CII National Six Sigma competition for successfully reducing longitudinal crack in CSP Caster.

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