Data Engineer

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LAKSHMI SRAVANTHI IMMANENI DATA SCIENTIST

***********@*****.*** 832-***-****

lakshmi-sravanthi-immaneni-82abaa178 github.com/ilsravanthi

Seattle, WA

SUMMARY

A data scientist who takes pride in building machine learning and deep learning models using Python for Data Science, Data Wrangling, Data Analysis, Data Visualization, Data Storytelling, Inferential Statistics, Machine Learning, Advanced Machine Learning, Natural Language Processing, Deep Learning that translate data points into business insights, with good knowledge of data warehousing concepts and Azure technology. MACHINE LEARNING AND STATISTICS: Inferential statistics, ANOVA, Regression models, Support Vector Machines, Decision Trees, Naive Bayes, Time Series Analysis, Clustering, PCA, Deep Learning (ANN, CNN, RNN LSTM) PROGRAMMING AND SOFTWARE: Python (Pandas, NumPy, scikit-learn, seaborn, TensorFlow, Keras), Embedded C, C++, SQL REPORTING TOOLS: Power BI, Tableau

CLOUD SOLUTIONS: Microsoft Azure

SKILLS

PROJECTS

Human Activity Recognition Using Smartphones: Aug. 2019 - Current Challenging time series classification task which involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a machine learning model. Performed data visualization using line plots, box plots, and histograms. Explored this problem using neural networks, CNN and RNNs, specifically Long Short-Term Memory or LSTMs. Online News Popularity Prediction May 2019 - Aug. 2019 Predicted the popularity of an online news article before being published helping publishers and editors in maximizing the popularity of articles and sell advertisements.

Explored the dataset using data visualization tools and applied data cleaning steps. Performed feature engineering with Dimensionality reduction and Feature importance. Predicted the popularity of the online news content with an accuracy of 70% using the Machine Learning Models, Logistic Regression, Random Forest, PCA, KNN, SVM, Decision Trees, and Gradient Boost algorithms. EXPERIENCE

Springboard, Data Scientist Fellow Feb. 2019 - Current Project-Based Data Science Course focusing on data wrangling, inferential statistics, visualization, and machine learning and deep learning. In-depth exploration and utilization of tools including Python, Apache Spark, SQL. Pace Solutions Inc., Business Analyst, Saint Louis, Missouri Oct. 2013 - Feb. 2015 Performed requirements gathering, data analysis, development, testing, integration, and maintenance of applications in Oracle Requirement gathering and understanding present business practices of Client Interacted with all levels of business owners and users during the various stages of the project lifecycle. Identified the gaps between Client’s business practices and Oracle standard features and providing solutions for gaps. ICSA (India) Limited, Embedded Software Engineer, Hyderabad, India Jan. 2007 - Aug. 2009 Developed embedded/firmware applications for processors using C, C++ Designed, implemented, and optimized performance-critical image- and signal-processing applications in embedded software for a digital signal processor.

Hindustan Aeronautics Limited, Electronic Engineer, Hyderabad, India Dec. 2003 - Oct. 2006 EDUCATION

Springboard Apr. 2019 - Jan. 2020

Data Science Certification

The Vazir Sultan College Of Engineering 1999 - 2003 Bachelor of Technology - BTech

Electrical, Electronics and Communications Engineering

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