Highlights

• Working as a Data Scientist Consultant.


• Good knowledge in Python,MYSQL,Pandas,NumPy.


• Good Knowledge in Machine Learning,Deep Learning,Natural Language Processing,OpenCV.


• Excellent analytical and problem-solving skills


• Proficiency in Programming LanguagesPython, SQL.


• Good knowledge in probability and  statistics


• Getting Knowledge or have live Project Experience in Flip Robo Technologies as a Associate Data scientist.


• Exceptional mentoring capabilities; turning mediocre performers into high performing, dedicated performers. Key contributor in organizational development and growth and strategic decision making processes.

Skills

Primary Skills

Machine Learning

Projects

Project 1 (47 months)

Roles & Responsibilities:






• Gathering vast amounts of structured and unstructured data and converting them into actionable insights.


• Identify valuable data sources and automate collection processes


• Undertake preprocessing of structured and unstructured data


• Analyze large amounts of information to discover trends and patterns


• Build predictive models and machine-learning algorithms


• Combine models through ensemble modeling


• Present information using data visualization techniques


• Propose solutions and strategies to business challenges


• Collaborate with engineering and product development teams


• Used Python Programming Language.


• Learn SQL query.


• Identifying the data-analytics solutions that hold the most significant potential to drive the growth of organisations.


• Using analytical techniques like text analytics, machine learning, and deep learning to analyse data, thereby unravelling hidden patterns and trends.


• Encouraging data-driven approach to solving complex business problems.


• Cleansing and validating data to optimise data accuracy and efficacy.


• Communicating all the productive observations and findings to the company stakeholders via data visualisation.


• Responsible for analyzing and cleaning the game data, feature design (injury formula and weight) and machine learning algorithm  selection and implementation. Applied Logistic Regression, Naive Bayes, SVM, KNN, Random Forest, AdaBoost model to predict the results, evaluated the results  and adjusted model performance.


• Participated in the Boston House document classification project  Responsible for the implementation and optimization of data cleaning, data visualization, exploratory data analysisand modelling.


• Learned  about Deep Learning,NaturalLangauge Processing.


• I did some Project experienced in Machine Learning and Deep Learning and NLP


• Learned Knowledge in Python.


• Knowledge in Deep Learning.


• Knowledge in NLP.
  
   

Project 2 (33 months)

Roles & Responsibilities:






• Managed full cycle recruitment activities inclusive of posting positions, prescreening and interviewing candidates, obtaining leads and reference checking, client interview arrangements, closing and offer preparation.


• Tracking, analyzing and prioritizing resume along with working on the Oracle SCM Position and Oracle DBA Positions.


• Prepared search strings, sourcing consultants and short-listing resumes based on the requirements.


• Performed pre screening of potential consultants in terms of their qualification, work experience, reference checks and remuneration.


• Got Master agreements signed by consultants and employers.


• Got confirmation from consultants/employers pay-rate: hourly/per day/annual through e-mail on rate confirmation agreement.


• Followed and passing out pre &pst interview feedback like time, date, contact person name, areas of improvement and if consultant selected date and place of reporting and joining from clients to consultants/employers.
  
   

Project 3 (19 months)

Roles & Responsibilities:






• Administered full cycle recruiting activities to include posting positions, prescreening & interviewing candidates, obtaining leads and reference checking, client interview arrangements, closing and offer preparation.


• Prepared search strings, sourced consultants and short-listing resumes based on the requirements.


• Performed pre screening of potential consultants in terms of their qualification, work experience, reference checks and remuneration.


• Submitted resumes to Account Managers and followed and passed out Pre and Post interview feedback like time, date, contact person name.


• Got Master agreements signed by consultants and employers.


• Hired consultants on W2 and Contract bases for our direct clients.

Project 4 (17 months)

Roles & Responsibilities:






• Performed full life cycle recruitment, building rapport with clients, vendors, colleagues and senior management.


• Prepared search strings, sourcing consultants and short-listing resumes based on the requirements.


• Got confirmation from consultants/employer’s pay-rate, hourly/per day/annual through e-mail on rate confirmation agreement.


• Got the master agreements signed by consultants and employers.


• Hired consultants on W2 and Contract bases for our direct clients.





 

Awards

CERTIFICATIONS

• ASP.Net Done during Bachelors.
• Big Data Certification in Progress.