: https://github.com/mbalakiran

: https://www.linkedin.com/in/bala-kiran-manthri-1b551390/

Manthri Bala Kiran

Data Scientist

adoi6x@r.postjobfree.com

+46 (0-764******

Stockholm, Sweden.

Professional Summary:

• Completed Master’s Programme in Data Science at Dalarna University, Borlänge in Sweden.

• Knowledge on the development of quantitative risk analysis theories, principles, and methods by combining the modeling of statistical learning approaches.

• Experienced in implementation of essential Python and R Libraries for a Data Scientist such as NumPy, Pandas, Scikit Learn, TensorFlow, Keras, PyTorch, NLTK, Matplotlib, and Seaborn.

• Experienced in writing SQL Queries and understanding the mathematical logic problems and solving them.

• Implemented Machine Learning algorithms such as Linear Regression, Logistic Regression, Decision Tree, SVM, Naive Bayes, KNN, Random forest, Principal component analysis, K-means, Hierarchical Clustering, CNN, RNN, and LSTM. Knowledge of the design and development of statistical learning and predictive models.

• Hands-on experience in using BI tools such as Tableau, Power BI.

• Good knowledge on implementation of various types of data collection to establish a valid data set, requirement gathering with a focus on analyzing data, analytical considerations, and reporting tools to detect patterns, and drawing inferences on data sets.

• Worked as General Secretary for IEEE student chapter during my Bachelors.

• Fast learner, problem solver, and ability to finish the task before the deadline. Education:

• Data Science: Master program in Dalarna University, Borlänge, Sweden (Sept 2019- June 2021)

• Bachelor of Technology in Information Technology from Malla Reddy Institute of Technology and Science, INDIA.

Work Experience:

• Admin Assistant Technical: St Marys Educational Society, Hyderabad, India (Mar 2018 – Aug 2019).

• Technical Support: Amazon Development Center, Hyderabad, India (Oct 2016 – Mar 2017). Technical Skills:

Languages : SQL, Python, R, C, C++

Web Development : HTML, CSS, JavaScript, Rest API

Tools & IDEs : Jupiter Notebook, NetBeans, Spyder, PyCharm, Tableau Power BI tool, Excel power query, PySpark, Hive, GIS Tools, Google Cloud Platform

Version Control : Git

Build/Packaging Tools : Jenkins

Containers : Docker

Libraries : Pandas, Matplotlib, NumPy, SciPy, NLTK, TensorFlow, PyTorch Bigdata FrameWork : Hadoop, Spark

Academic Project Experience: Data scientist

Project Name: Thesis for Master Program -> NeuroEvolution – No Free Luch but a peak at the menu is allowed.

Responsibilities:

• Goal to understand does the Encoding Structure matter (Direct vs Developmental Encoding)

• In which Static Environment does the Developmental encoding brain or Direct Brain perform better

• Understanding how Different brains would adapt to the environment which is changing over time.

• Understanding Indirect Developmental Encoding and constructing Hybrid Developmental Encodings.

• Create insights and visualizing different brain performances in different environments. Technical Environment: Genetic Algorithm, Python, C++, Excel, Jupiter Notebook, pandas, matplotlib. Project Name: Building Machine Learning model and Publish using Flask REST API Responsibilities:

• Understanding the dataset with the movie genres and Creating insights and visualizing the data using Python. Removing stopwords and performing cleaning of the data using NLTK.

• Building the model and using the model to predict the test dataset.

• Using REST API and publishing the train and test results. Tools: Python, Pandas, Scikit Learn, TensorFlow, NLTK, Matplotlib, Spyder, and Flask Rest API. Project Name: Sentiment Analysis for Customer reviews on Zomato. Responsibilities:

• Implemented sentiment analysis on user comments by using text analysis based on Natural Language Processing (NLP).

• Performing Data Analysis and drawing insights on the data by understanding data based on features in the dataset and their relations.

• Removing stopwords from the Review feature in the dataset using NLTK.

• Finding the best location and best-suggested cuisine for the location to open a new restaurant.

• Building a model to predict the rating of the restaurant using different features in the dataset. Tools: Jupiter Notebook, python, pandas, matplotlib, Scikit Learn, NLP, NLTK Project Name: Facial Expression recognition using Machine Learning. Responsibilities:

• Understanding the dataset and the classes of the images in the dataset.

• Building the model by balancing the dataset and the unbalanced dataset.

• Using CNN to train the model on the training dataset for understanding the classes of the images and Predicting the class of the images in the test dataset using the model build. Tools: Jupiter Notebook, python, pandas, matplotlib, Scikit Learn, Keras, Tensorflow, CNN. Professional Project Experience:

Project Name: Building Graph Genome on Cattle Genome Company: SLU University, Sweden.

Role: Intern Data Scientist

Responsibilities:

• Understing the Cattle genome data collected. Marking the duplicated in the data and finding structural variations in the Genome.

• Building a graph genome after finding the structural variations of different cattle.

• Testing the pipeline which was build to understand Lumpy Skin Disease in cattle. Tools: NextFlow, Samtools, Delly

Role: Admin Assitant Technical

Company: St Marys Educational Society, Hyderabad, India. Responsibilities:

• Handling the ERP system modules and proving the final application for the uses to perform tasks. Building new modules for the use and performing training for final users.

• Understanding the loopholes in the system and making those requirements developed.

• Communicating with the development team on the requirements needed.

• Handled all the modules in the ERP system and provided support. Acted as Scrum Master. Tools: ERP, Ruby on Rails.

Languages:

English : Fluent

Telugu : Fluent, Native

Hindi : Fluent

Swedish : Intermediate

Interests:

• Badminton, Cricket, Speaker

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