SUMMARY

• Data scientist with 8+ year of experience executing data - driven solutions to increase efficiency, accuracy, and utility of internal data processing.
• Experienced at creating data regression models, using predictive data modeling, and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex problems.
• Hands on experience in coding, developing advanced Machine learning algorithms and creating interactive visual solutions to support business growth
• Professional experience across Solution Designing & Consulting, Technical Delivery (Global projects across multiple geographical locations such as USA, SENAP, New Zealand etc.).
• Working knowledge on latest Data science and machine learning tools
• Experience in executing data driven projects across multiple domains
• Experience of implementing multiple algorithms from Supervised, Unsupervised, Dimensionality, Collaborative Filtering etc
• Excellent understanding of machine learning techniques and algorithms such as Regression, K-Mean, SVM, Decision tree, Random forests etc.
• Experience in evaluate the performance of machine learning algorithms with resampling methods like K-fold cross validation, Leave one out cross validation, Repeated random Test-Train split.
• Experience in working with R packages such as-Dplyr, data.table, stringr, tidy(data manipulation), SQLdf (sql query),ggplot,(Visualization techniques), maps, gmaps(spatial data).
• Experience in working with python packages such as-Numpy, IPython,Pandas(data manipulation), SQLdf (sql query),matplotlib,seaborn(Visualization techniques),scipy,scilit-learn(Machine learning).
• Hands on experience on implementing data mining algorithms for business problem.
• Experience using statistical languages such as R and SAS to manipulate data and drawn insights from large datasets
• Architect and hands-on development of Analytics and Reporting solutions using Visualization Tool.
• Implementing and configuring reporting technologies like Tableau, Spot fire Etc
• Strong hands on experience writing SQL queries in python, R and SAS
• Hands-on experience in Python Scripting, R programming and SAS.
• Team player in catalyzing the process after thorough analysis of the process flow and also helped the other team members to understand the process and supported them to complete the assigned tasks.
• Identify business trends utilizing real data, compile analysis reports that are delivered to developers and then follow-up on all result.

TECHNICAL SKILLS

• Python Scripting
• R programming
• SAS
• SQLdf
• SVM
• Numpy
• IPython
• Pandas

PROFESSIONAL EXPERIENCE

Confidential

Developer

Responsibilities:

• Stratification and clustering of channels into different groups based on clustering, K - Mean, Decision tree, for facilitating the universe estimation process
• Wrote SQL queries in python and R programming environment to fetch the Monthly and weekly data to monitor data quality KPI s
• Understand the consumer behavior base on the demographic using Supervised, Unsupervised machine learning techniques
• Developed HTML application using shiny and markdown packages in R environment for universe simulations which was deployed for 7 countries
• Data Validation, Data Processing, Estimating Universe from Sample data, Recruiting Store, Data Quality issues, Coverage Analysis, Forecasting, Missing Value Imputation, Planning Geographical Design to collect the sample data based on Auxiliary variable are some of the task which I am leading for one specific country.
• Automate Data validation process in python environment using numpy and pandas packages which reduced time period of 15 days
• My work was appreciated by directors for my collaborative approach and clear communication with the global team to develop and deploy the tools in in time globally.
• Construct and fit statistical, machine learning, or optimization models that enable estimation of retail establishment survey decision-making across arrange of complex environments and applications
• Apart from regular day to day work, I am machine learning trainer for juniors and new joiners and help them to have hands on experience on analytical Software tool such as SAS,R programming, Python through class room training sessions.

Confidential

Responsibilities:

• Plan, develop, coordinate and participate in various marketing research activities to identify customer preferences and attitude and to enhance products and services
• Measurably impact business KPIs by delivering high - quality scalable solutions developed using GGplot2,dplry,data.table,shiny packages in R environment
• Extracted and compiled data, conducted data manipulation to ensure data quality, consistency, and integrity using SAS and R Package
• Design initiatives where strategic use of information and data analytics will significantly enhance the performance of assigned projects
• Identify ways to analyses and draw conclusions from imperfect data sources while clearly articulating any assumptions
• Support cross-functional initiatives and internal/external customers at all levels
• Made business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information
• Working on algorithm development for automated classification along with guidance rules generation for sequential process

Confidential

Responsibilities:

• Plant data analysis, delivering process innovative solutions, Enhancing operational performance.
• Analysis of false alarms KPI (Breakout Detection System) and Slab downgrade ratio
• Worked on soft sensor development for Cement Quality Parameter prediction.
• Developed a model for predicting the Hot Metal Temperature in Blast Furnace, Molten Iron making process.
• Prepared standard Discovery Value Assessment templates and product presentations for various verticals (Cement, Mining and Chemical etc.)
• Developed a model for predicting the yield which used to know chemical impact on the process (Refinery).
• Developed a model for predicting the Hot Metal Temperature in Blast Furnace, Molten Iron making process.
• Working on Algorithm development for automated classification along with guidance rules generation for sequential processes
• Worked on Application Development for Cash profit prediction for a Discrete Manufacturing industry