Neha Sharma work email
- Valid
- Valid
Neha Sharma personal email
- Valid
EMC Certified Data Science Associate with experience in building, debugging and optimizing machine learning pipelines. Hands-on experience in developing ETL Processes and automating analyses. Proficient in using statistical programming languages like R, Python, SQL including Big Data technologies like Hadoop, Spark with strong domain expertise in healthcare, retail and finance.Technical Skills: ▪ Programming: Python (Scikit-learn, numpy, pandas), SQL, R, Java, C++▪ Databases: MySQL, PostgreSQL, Oracle DB, MongoDB▪ Machine Learning: Regression, Classification, Clustering, Natural Language Processing, Deep Learning▪ Statistical Methods: Time Series, Exploratory Data Analysis, Recommender System▪ IDE & Tools: RStudio, Tableau, Anaconda (Jupyter, Spyder), Weka, Git, Atom, Linux Bash▪ Frameworks: Django, Shiny, Apache Stack (Spark, Hadoop)
- Website:
- google.com
- Employees:
- 1
- Company phone:
- 916.253.7820
-
Data Engineer IiGoogle Jun 2022 - PresentMountain View, Ca, Us -
Senior Data EngineerCuro Financial Technologies Corp Nov 2021 - Jun 2022Greenville, South Carolina, Us -
Data Science EngineerAgentis Nov 2019 - Nov 2021Chicago, Illinois, Us -
Data Science SpecialistCommunity Tax, Llc Jun 2018 - Nov 2019Jacksonville, Fl, Us• Developed and designed ETL processes for data migration using Python and SQLAlchemy.• Analyzed historical data and built forecasting systems to determine future business opportunities and metrics.• Formulated data-driven suggestions and recommendations to optimize the company’s SEO/SEM strategies and to evaluate ROI.• Built predictive models to help sales and marketing team prioritize leads and increase the lead conversion rate.• Developed an automated reporting system for marketing department using Python on Django Web Framework.• Designed and maintained multi-layer dashboard in RShiny for interactive views and trends with user-level security. -
Data ScientistTuutkia Feb 2018 - Jun 2018• Developed a Python based web scraper to automate data collection of user reviews from publicly accessible web services.• Optimized algorithm for selection of HTML DOM elements using BeautifulSoup and Selenium headless driver in Python.• Preprocessed collected data using NLP techniques for text manipulation and filtering using Python libraries like NLTK, pandas and numpy.• Analyzed positive/negative sentiment for user reviews using optimized version of VADER algorithm in Python.• Visualized the results to derive insight of difference in consumer experience for online and local retailers categorized by type of business.
-
Data Science ResearcherUniversity Of Illinois Springfield Mar 2017 - Dec 2017Springfield, Il, Us• Responsibility: Worked as Data Science Researcher under the supervision of Dr. Elham Sahebkar to perform analysis on Southern Illinois Area Pediatric health records.• Analyzed and preprocessed healthcare data for frequent sequence rule mining using SQL and R• Generated sequences using cspade function provided in the arulesSequences package for mining frequent sequential patterns in the data.• Performed data exploration using statistical & predictive modeling techniques in R.• Derived significant correlations and specific correlations in the data using machine learning algorithms (Association rule learning, K-means algorithm).• Analysis of correlations resulted in re-examination of approaches and treatment plans for the patients by clinician researchers. -
Software EngineerCentre For Development Of Advanced Computing May 2014 - Jun 2015Pune, Maharashtra, In• Implemented refactoring of Android apk to make it capable of computational offloading.• Migrated the large computations and complex processing by converting apk to smali using the Apktool to get the modified form of Java source code.• Automated the identification of anchored and remote classes by scanning smali files using Java.• Recompiled and deployed proxy enabled Android app on mobile devices and non-proxy enabled component on cloud server.• Achieved optimized performance of multiple Android apps and benchmarked results on Android simulator.
Neha Sharma Skills
Neha Sharma Education Details
-
University Of Illinois SpringfieldComputer Science -
University Of PuneComputer Engineering
Frequently Asked Questions about Neha Sharma
What company does Neha Sharma work for?
Neha Sharma works for Google
What is Neha Sharma's role at the current company?
Neha Sharma's current role is Senior Data Engineer.
What is Neha Sharma's email address?
Neha Sharma's email address is ne****@****ook.com
What schools did Neha Sharma attend?
Neha Sharma attended University Of Illinois Springfield, University Of Pune.
What skills is Neha Sharma known for?
Neha Sharma has skills like C, C++, Java, Pl/sql, Html, Oracle Database, Php, Matlab, Visual Basic, Public Speaking, Microsoft Office, R.
Who are Neha Sharma's colleagues?
Neha Sharma's colleagues are User1109620 Test, Kristie Price, Chandresh Kumar, Zubair Shaik, Paila Tirpat Raw, Abdo Zahaf, Stefan Serban.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial