MOST PROUD OF
- Starting my life over again after moving to the United States without friends, family or connections to follow my dream of becoming a self-made woman; mastering my English skills to levels that allow me to live a full and limitless life in a new country and a new arena
- Leading and delivering dozens of successful projects, across different industries and teams — including Tech, Pharma, Events and Retail; by turning ideas into action, making things happen and sharing my energy with others
- Teaching English as a second language to middle school girls in Russia and helping them navigate the modern technology world as a career path
MY LIFE PHILOSOPHY
Doubt kills more dreams than failure ever will. Keep, keep trying.
HOW I SPEND MY DAY
and data structures
learning new concepts
reading blogs of
engineers and designers
for kids from
Disciplined and self-driven Software Engineer who led multiple projects across a variety of teams and industries, with extensive experience in Technical Project and Product Management. Brings excellent communication and collaboration skills, eagerness to learn, and passion for the customer experience
- San Francisco, CA or Remote
Hackbright Academy, San Francisco, CA
General Assembly, San Francisco, CA
Certification program, curriculum includes data mining, cleaning, analysis and tools (SQL, Tableau and MS Excel)
Master of Business Economics
2014 - 2017
Russian Presidential Academy of National Economy, Moscow, Russia
Thesis: Method for Diagnostics, Assessment, and Analysis of Investment Climate and Investment Risks
Bachelor of International Communication
2006 - 2011
Saint Petersburg State University, Saint Petersburg, Russia
Thesis: Characteristics and Features of the Linguistical World View of English-speaking countries
Frameworks & Libraries:Flask | React.js | jQuery | Bootstrap | Jinja
Database & Industry Tools:PostgreSQL | Git | GitHub | Bash | Tableau
May 2018 - Present
Super Color Digital, South San Francisco, CA
- Developed project roadmaps, budgets, and estimations and coordinated rounds of customer’s approvals
- Prioritized tasks for the production team, tracked progress, and escalated resolutions requests where necessary
- Obtained customer's feedback and developed improvement plans for future iterations
Increased YoY revenue 32% ($400k) by reducing the number of resolution requests by 50% and developing new QC models
TECHNICAL PRODUCT MANAGER
Mar 2016 - June 2017
Sylogent, Newtown, PA
- Collected customer requirements and created design specs for development teams
- Trained customers on new versions of products and created product tutorials
- Curated performance analysis and generated weekly SQL reports for the designated customers
Reduced the number of support tickets by 67% over the 1st year, by developing a self-service portal with training guidelines
TECHNICAL PROJECT MANAGER
Oct 2014 - Mar 2016
CSSSR, Singapore (remote)
- Acted as a liaison between customers and team of developers
- Coordinated development team by dividing tasks into Jira tickets and tracking progress
- Tested websites for cross-platform and pixel-perfect compatibility and tracked bugs
Increased team’s velocity by 15% by optimizing testing models across platforms (desktop, mobile web, app)
Operations and Demand Manager
Sept 2010 - July 2014
Russian Standard Vodka, St. Petersburg, Russia
- Developed product demand plans, based on sales forecast, business trends, and demand patterns
- Communicated demand forecasts to several international suppliers and supported import operations
- Analyzed operational risks and designed mitigation activities
Started an initiative to help reduce the overstock inventory that saved over $100K in the first year by promoting cash flow and releasing warehouse areas.
- Data Analysis
a full stack web app
a web app to organize your favorite cooking recipes
- The most fun feature I worked on here was developing and implementing a web scraping tool for "importing" the text of a recipe just by pasting a link to it. I used the Beautiful Soup library for searching for certain HTML tags and "scraping" the inner HTML from those. The problem I faced here was that different cooking websites use different nametags for their HTML templates so I had to create a web-scraping tool for every web-site I would want my users to copy their recipes from. It sounded like a time-consuming and inefficient task so I opted-in for an open-source API-like library that supported 100+ websites for scraping.
- Other features include searching for a recipe, recipe import from URL (web-scraping), create/edit a recipe on the fly, delete a recipe.
a modern twist on the old game
- I used this project as an opportunity to learn functional components of React.js, as opposed to class components, as well as hooks, like useState and useEffect.
- The game uses a Canvas() element to render an image of a cutting board with an Image() constructor for rendering an avocado (a mole) on it. useEffect with setInterval() method is used to display images of avocados with delays (1000 ms) and then re-render the component again to display an avocado in the next randomly-picked position. useState is utilized for the state of the game, lives count, and scores. When a user clicks on an avocado, the click is registered and checked whether its position was within the range of an avocado image (100 x 100 pixels). If yes, useState increments the score, and an image of a flash is rendered, if not, useState decreases the number of lives by one. When the number of lives comes to 0, a new component is rendered on the page (GameOver)
a comprehensive data analysis on homicide rates in the United States
- For this project I used FBA's dataset of homicides that happened in the US between 1974 and 2017 and used Tableau as the main tool for data analysis and visualization.
- I was curious to see if there are any underlying factors to gun violence which is actively discussed in the news and social media in the United States. My strategy was to find areas of focus so that crime preventing efforts could be used effectively. I looked at the overall time trends in the country, the number of cases per metropolitan area, and solvability rates. That gave me certain areas with higher numbers of cases and/or low solvability levels. I then started looking into the details like circumstances, victim-offender and weapons used details. This gave me an idea of what population groups are the most vulnerable and under what circumstances. Lastly, I looked at firearm and non-firearm related crimes comparison.
- As I was trying to find areas of focus, I discovered several interesting facts. For example, females are more likely to be victims of an intimate partner or a family member, with males as perpetrators (over 50% in 2017). Males, on the other hand, are more likely to be a victim of a stranger or an acquaintance, and less likely of a partner or a family member (less than 4% in 2017).