Data scientist
Resume:
SHAHID AKHTAR
Email: *************@*****.*** Phone:
(Mobile): +91-886*******
OBJECTIVE
To pursue a challenging education in Data science and to thoroughly understand concepts of Computer Science, take up research in that area and contribute to the best of my abilities to the technological revolution. Ambitious and self motivated with a strong desire and determination to achieve both personal and professional goals by implementing a proactive and professional approach. ACADEMIC CREDENTIALS
2016-2019 Bachelors of Science – Computer science from Sharanabasaveshwar college of science, affiliated to Gulbarga University with an aggregate of 61.10% 2012-2014 PUC - Mathematics, Physics and Chemistry from Shivaraj Patil PU College Gulbarga, recognized by Department of pre university education With an aggregate of 63.33%.
SKILLS
Technical Skills : Python - Beautiful Soap, NumPy, Pandas, Data Visualization, Web scraping, water marking, OpenCV.
Statistic : Distributions, ANOVA, Hypothesis testing, MLE, Sampling. Machine Learning : Linear Regression, Logistic Regression, Decision tree, KNN, Bagging, Boosting, PCA Feature engineering, Cross validation, Hyper parameter tuning. NLP : Stemming, Lemmatization, Parts of speech tagging, n-gram models, Word embedding. PROJECTS
1. Project on Python:
Web Scraping:
Description: Extracting world population data from website, making analysis of data and performing certain visualisations on data.
Roles & Responsibilities: Extracting Data from various websites.
• Applying Beautiful soup Library
• Data Cleaning with and Making into Data Frames.
• Analysing data
• Visualisations
• Conclusion
Uber data analysis:
Description: Analysing the rides of Uber taken to/from the airport and providing meaningful conclusions about cancelation.
Roles & Responsibilities:
• Data Pre-processing
• Analysing data
• Visualisations
• Conclusion
2. Projects on Machine learning:
HR analysis:
Description: In this we build a model that predicts whether the candidate will join or not join to company.
Roles & Responsibilities:
• Built a model to predict whether candidates will join or not.
• Finding the key factors that influence the candidate to join the company.
• Devised some strategies/roles to ensure candidate will join.
Predictive maintenance:
Description: To predict the lifespan of a machine using sensor data. Roles & Responsibilities:
• Data pre-processing
• Creating a ML baseline model
• Handling outliers
• Feature engineering
• Hyper parameter tuning
DECLARATION
Above stated facts are true at the best of my Knowledge& I assure you I shall work sincerely once I am selected by you.
Place: GULBARGA SHAHID AKHTAR
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