Alakesh Mani has a Master's degree in Data Analytics from Penn State and a Bachelor's degree in Electronics and Communication Engineering from Madras Institute of Technology. He has over 2 years of experience as a Software Analyst at Aspire Systems where he worked on automating payroll tax calculations using Apache Spark and Python, building a recommendation engine using Spark MLlib, and scraping Twitter data using Spark. He has strong skills in languages like Java, Scala, Python and tools like Spark, Hadoop and Hive.

1. ALAKESH MANI
azm6495@psu.edu | +1 (484) 995 8240 | linkedin.com/in/alakesh-mani-468b2b150 |Malvern
EDUCATION
Pennsylvania State University, USA Aug 2019 – Dec 2020
Master of Professional Studies in Data Analytics
Courses taken: Applied Statistics, Database Design Concepts,Data-Driven Decision Making, Analytics Programming in
Python, Large Scale Database and Warehouse,Data Mining, Predictive Analytics, Deep Learning, Data Visualization.
Madras Institute ofTechnology, India Aug 2013 – Jun 2017
Bachelor of Engineering in Electronics and Communication Engineering
Relevant Courses taken: Object Oriented Programming, Data Structures and Algorithms, Database Management Systems.
TECHNICAL SKILLS
Programming languages: Java,Scala, C++
Scripting languages: Python, Shell
Querying languages: MySQL, HiveQL
Operating systems: Linux, Windows
Big data stack: Hadoop, Spark, Hive, Hbase,Kafka
PROFESSIONAL EXPERIENCE
Aspire Systems | Chennai, India Jul 2017 – Jun 2019
Software Analyst
Automation of Payroll tax calculation
 Worked for one of the big four companies to make a product which can provide an automated way of Payroll calculation
from different source of data files.
 Using Apache Spark-Python/SQL,validated the data and applied multiple business rules.
 Using Microsoft’s HDInsight cluster,managed Spark jobs.
 Using Apache Livy, integrated the whole process to make it interactive for the process to be called by other applications
using REST API.
Building Recommendation Engine
 Worked for one of the leading e-distributor of chemicals to build a recommendation engine which will suggest similar
products to the users.
 Using Apache Spark-Scala/SQL,cleansed and preprocessed the data
 Applied item-item similarity method which is one of the methods of Collaborative filtering algorithm.
 Item-item similarity matrix was built using Spark’s MLlib library to extract the similar items and filtered out the
recommended products for each product.
Scrapping data from Twitter
 Worked for one of the leading fine dining restaurant chain in US to collect statistical details from their twitter page.
 The metrics were calculated and then was loaded into Apache Hive database.
 The process was done on daily basis based on automation scheduled by CRON job.
AWARDS AND ACTIVITIES
 Received Penn State Great Valley Chancellor’s Scholarship for $10,000.
 Secured first place in a Microcontroller programming event named “Mupro” of LiveBeat’15, an intra-college technical
symposium, organized by Department of Instrumentation Engineering.
 Runner-up in an intra college Business plan competition in 2015 held in MIT, Anna University.
 Active member of National Sports Organization (NSO) of MIT, Anna University. Organized many sports events and has
helped grooming juniors to shine at the sports events.