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Data Sales

Location:
Hyderabad, Telangana, India
Posted:
December 10, 2019

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Resume:

CAREER OBJECTIVE:

To work in a firm with a professional work driven environment where I can utilize and apply my theoretical knowledge and skills, which would empower me to grow while accomplishing organization’s goals.

TECHNICAL SKILLS:

• Proficient in languages such as Python and R

• Strong Understanding of predictive modelling and machine learning algorithms

• Good understanding of data mining, cleaning and modelling

• Efficient in graphical modelling and data visualization using Tableau

• An in-depth understanding of Deep-Learning using Neural Networks

• Create Customized reports in Tableau for data visualization

• To transform the raw data into MySQL to prepare unruly data for machine learning

• Data and Quantitative Analysis

• Decision Analytics

• Visualization Tools and Predictive Modelling

• Machine Learning Algorithm

PROJECT:

Done a Hands-on Project based on Kaggle data set on “IBM HR Analytics Employee Attrition & Performance”

• Reading and Visualizing the data by importing the necessary libraries

• Preprocessing the data for understanding, filling the Null-Values and to manipulate the data by adding rows and columns

• Cleaning the data by filling the null values with the Bfill method

• Visualizing the data with the help of graphs to understand the relation between the variables

• Find the Independent and Dependent Variables

• Describe the data to understand the Minimum, Maximum values and also to fine the Mean and standard deviation values for the data frame

• To find the Co-Relation between the Variables by using ‘Heat Maps’ and ‘Pair plots’

• Finding the outliers by using ‘Boxplot’ and to reduce the count of outliers because the outliered variable should not affect another variable

• Applying the Label Encoders to change the categorical data to numerical data

• Normalize the data to bring the numerical data to the same level

• Split the data for testing and training

Solleti Manish Kalyan

B.Tech, Electrical and Electronic Engineer

Contact No: - +91-833*******

E-mail: - ada1oj@r.postjobfree.com

• Create Machine learning models with Python and scikit-learn to build the respective models by using Regression and Classification Models

• After model building, Prediction should be done on the Test data as we as on the new data

• Evaluating the Machine learning models for Classification by ‘Confusion Matrix’ and for Regression by ‘R2 Score’

• Find the Error measurements by Root Mean Square Error (RMSE) and Mean Absolute Error

(MAE)

• Finally Deployed the ML Model

Environment: Python 3.7.4, HTML, Machine learning Algorithms, Jupyter Notebook, Kaggle for data set

PROFESSIONAL EXPERIENCE:

Company: SocialPrachar July 2019 – Nov 2019

Role: Data Scientist (Intern)

Responsibilities:

• Used Python to scrape, clean and analyze large data set

• Create Machine learning models with Python and scikit-learn to predict the business

• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rule-based models, deep learning

• Create language models from petabytes of text data in different languages

• Transformed the raw data into MySQL to prepare unruly data for machine learning

• Suggest, collect and synthesize requirements and innovate to create next generation feature sets

• Work as part of the product team to implement algorithms that power user and developer- facing products reaching out to millions of users.

• Be responsible for measuring and optimizing the quality of your algorithms and Models

• Adapt standard machine learning methods to best exploit modern parallel environments

• Create Customized reports in Tableau for data visualization Company: BYJUS Mar 2018 – Sep 2019

Role: Business Development Associate

Responsibilities:

• Willing to familiarize yourself with the company's vision and mission, seeking to accomplish set goals and objectives.

• Conducting market research and identifying potential clients.

• Cultivating strong relationships with new clients, while maintaining existing client relationships.

• Collating and maintaining client information in the Lead Squared database.

• Working closely with staff across departments to implement growth strategies.

• Developing and implementing sales strategies, client service and retention plans, and analyzing sales data to inform or update marketing strategies.

• Assist with drafting business plans, sales pitches, presentations, reference material, and other documents as required.

• Ability to manage multiple projects concurrently and meet deadlines.

• Identify new business opportunities and partners.

• Demonstrate strong interpersonal skills with the ability to engage effectively with various levels of management, staff, and clients.

Company: ClearTax Feb 2017 – Oct 2018

Role: Sales and Marketing

Responsibilities:

• Builds business by identifying and selling prospects; maintaining relationships with clients.

• Identifies business opportunities by identifying prospects and evaluating their position in the industry; researching and analysing sales options.

• Sells products by establishing contact and developing relationships with prospects; recommending solutions.

• Maintains relationships with clients by providing support, information, and guidance; researching and recommending new opportunities; recommending profit and service improvements.

• Identifies product improvements or new products by remaining current on industry trends, market activities, and competitors.

• Prepares reports by collecting, analysing, and summarizing information.

• Maintains quality service by establishing and enforcing organization standards.

• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of- the-art practices; participating in professional societies.

• Contributes to team effort by accomplishing related results as needed. EDUCATION:

SRM University BE/B.TECH Electrical and Electronics Engineering (GPA- 7.0) Social Prachar Institute Data Science Course (6 Months)



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